Jordan’s mammalian fauna has experienced significant declines due to intensified hunting since the early twentieth century, leading to the extinction of six species and threatening 39% of the remaining species. This research evaluates the evolution of Jordan’s hunting laws across three historical stages – the Ottoman period, the establishment of Jordan and the modern era – highlighting their impacts on mammalian diversity and identifying legislative gaps contributing to species declines. Using Arabic-based legal databases and historical archives, we found that inadequate legal frameworks, political instability, economic pressures and weak enforcement often accelerated species depletion. Notably, the 1957 Hunting Law permitted hunting of vulnerable species with a licence and of predators without a licence, worsening species decline. Although the 1962 Defense Law aimed to protect nature, its expiration hindered progress. The 1966 Hunting Law largely duplicated the 1957 law, perpetuating these problems, and then hunting regulations were absorbed into agricultural law, undermining conservation efforts. Despite these legal shortcomings, Jordan’s modernization vision provides hope for reform, including the potential restoration of the Hunting Law under the Ministry of Environment and incorporating the right to a healthy environment into Jordan’s constitution to help prevent a mass extinction of mammals.

A new model of confirmatory factor analysis (CFA) for multitrait-multimethod (MTMM) data sets is presented. It is shown that this model can be defined by only three assumptions in the framework of classical psychometric test theory (CTT). All other properties of the model, particularly the uncorrelatedness of the trait with the method factors are logical consequences of the definition of the model. In the model proposed there are as many trait factors as different traits considered, but the number of method factors is one fewer than the number of methods included in an MTMM study. The covariance structure implied by this model is derived, and it is shown that this model is identified even under conditions under which other CFA-MTMM models are not. The model is illustrated by two empirical applications. Furthermore, its advantages and limitations are discussed with respect to previously developed CFA models for MTMM data.

In this article, we present a general theorem and proof for the global identification of composed CFA models. They consist of identified submodels that are related only through covariances between their respective latent factors. Composed CFA models are frequently used in the analysis of multimethod data, longitudinal data, or multidimensional psychometric data. Firstly, our theorem enables researchers to reduce the problem of identifying the composed model to the problem of identifying the submodels and verifying the conditions given by our theorem. Secondly, we show that composed CFA models are globally identified if the primary models are reduced models such as the CT-C$(M-1)$\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$(M-1)$$\end{document} model or similar types of models. In contrast, composed CFA models that include non-reduced primary models can be globally underidentified for certain types of cross-model covariance assumptions. We discuss necessary and sufficient conditions for the global identification of arbitrary composed CFA models and provide a Python code to check the identification status for an illustrative example. The code we provide can be easily adapted to more complex models.

A new multiple indicator multilevel latent state-trait (LST) model for the analysis of multitrait–multimethod–multioccasion (MTMM-MO) data is proposed. The LST-COM model combines current CFA-MTMM modeling approaches of interchangeable and structurally different methods and LST modeling approaches. The model enables researchers to specify construct and method factors on the level of time-stable (trait) as well as time-variable (occasion-specific) latent variables and analyze the convergent and discriminant validity among different rater groups across time. The statistical performance of the model is scrutinized by a simulation study and guidelines for empirical applications are provided.

One of the main challenges in weight loss programmes is compliance with diet and achievement of sustainable changes in eating habits and lifestyles. Most clients desire to lose weight quickly, rather than looking at long-term changes. The literature suggests applying telenutrition, owing to its convenience and easy access in combination with both telemonitoring and health coaching, where confounding factors in the diet are tackled. A 6-month randomised controlled trial will be conducted to compare the effectiveness of telenutrition v. telenutrition supported by weekly telemonitoring and monthly health coaching in a weight loss programme. Participants are obese and overweight adults of both sex groups, aged 20–50 years who will be randomised to join a control or an intervention group. A total of three visits will be scheduled for all participants: at baseline, after three months and after six months. This study aims to answer the question of whether participants following a weight loss programme supported by telemonitoring and health coaching will increase their weight loss and compliance to the diet in comparison with the control group. This will be the first trial to assess the impact of integrating telemonitoring and health coaching in weight loss programmes, including the evaluation of associated confounding factors such as general nutrition education, eating behaviour, sensory modalities and hunger, and stress. This trial will support dietary weight loss programmes, contribute to the emerging field of telenutrition and provide advice for clinical dietitians and health coaches to work together to help individuals lose and maintain weight.

Oral cancer survival rates have seen little improvement over the past few decades. This is mainly due to late detection and a lack of reliable markers to predict disease progression in oral potentially malignant disorders (OPMDs). There is a need for highly specific and sensitive screening tools to enable early detection of malignant transformation. Biochemical alterations to tissues occur as an early response to pathological processes; manifesting as modifications to molecular structure, concentration or conformation. Raman spectroscopy is a powerful analytical technique that can probe these biochemical changes and can be exploited for the generation of novel disease-specific biomarkers. Therefore, Raman spectroscopy has the potential as an adjunct tool that can assist in the early diagnosis of oral cancer and the detection of disease progression in OPMDs. This review describes the use of Raman spectroscopy for the diagnosis of oral cancer and OPMDs based on ex vivo and liquid biopsies as well as in vivo applications that show the potential of this powerful tool to progress from benchtop to chairside.

This rejoinder responds to a commentary (Horak et al., 2023) on our article ‘De-Linking from Western Epistemologies: Using Guanxi-Type Relationships to Attract and Retain Hotel Guests in the Middle East' (2022). We thank the authors for engaging with our work and are grateful to the editor for the chance to respond. Firstly, we do not accept the central assertion that we imposed the Chinese concept of guanxi on a Middle Eastern context. Some aspects of guanxi extend beyond China, and we consider it part of our role as researchers to explore universal behavioral aspects that transcend specific cultural settings. While we described guanxi to introduce the variables, we drew a clear distinction between guanxi itself and guanxi-type relationships, and provided on page 859 an explicit statement about what we meant by the term ‘guanxi-type relationships’, i.e. the networks of interpersonal ties found in the Middle East. While this distinction could have been more clearly emphasized in places, we consider that the article as a whole made it abundantly clear.

The relationship between non-communicable diseases and eating behaviour has long been attributed to a surplus of food and energy. However, the increase in the prevalence of non-communicable disease and their underlying low-grade inflammatory milieu among people of low socio-economic status has highlighted the existence of a confounding factor. In this work, we aim to study the effect of lysine deficiency on some inflammatory markers in the absence or presence of an inflammatory insult (lipopolysaccharide (LPS)). For this purpose, thirty-two 5-week-old male Sprague Dawley rats were randomly distributed into four groups: (1) control diet, (2) control diet+LPS, (3) lysine-deficient diet and (4) lysine-deficient diet + LPS. Groups were only allowed their experimental diets for 4 weeks, during which LPS (50 µg/kg) or saline injections were administered intraperitoneally three times per week. The study showed that lysine deficiency blunted growth and body compartments development, decreased albumin production and elevated liver C-reactive protein (CRP) expression, independently of IL-6 and IL-1β, the main precursors of CRP. Also, the insufficient levels of lysine in the diet increased hyperactivity and triggered an anxiety-like behaviour, exacerbated with LPS. This work presents evidence that various physiological changes are associated with the absence of a sufficient amount of lysine in the diet and can potentially increase the risk factor for diseases. Thus, the increment in non-communicable disease among the low socio-economic status populations, who heavily rely on cereals as a main source of protein, can be, at least partially, blamed on low lysine availability in diets.

In response to the coronavirus disease (COVID-19) pandemic, the State of Maryland established a 250-bed emergency response field hospital at the Baltimore Convention Center to support the existing health care infrastructure. To operationalize this hospital with 65 full-time equivalent clinicians in less than 4 weeks, more than 300 applications were reviewed, 186 candidates were interviewed, and 159 clinicians were credentialed and onboarded. The key steps to achieve this undertaking involved employing multidisciplinary teams with experienced personnel, mass outreach, streamlined candidate tracking, pre-interview screening, utilizing all available expertise, expedited credentialing, and focused onboarding. To ensure staff preparedness, the leadership developed innovative team models, applied principles of effective team building, and provided “just in time” training on COVID-19 and non-COVID-19-related topics to the staff. The leadership focused on staff safety and well-being, offered appropriate financial remuneration, and provided leadership opportunities that allowed retention of staff.

The association between maternal metabolic status at the time of conception and subsequent embryogenesis and offspring development has been studied in detail. However, less attention has been given to the significance of paternal nutrition and metabolism in directing offspring health. Despite this disparity, emerging evidence has begun to highlight an important connection between paternal metabolic well-being, semen quality, embryonic development and ultimately adult offspring health. This has established a new component within the Developmental Origins of Health and Disease hypothesis. Building on the decades of understanding and insight derived from the numerous models of maternal programming, attention is now becoming focused on defining the mechanisms underlying the links between paternal well-being, post-fertilisation development and offspring health. Understanding how the health and fitness of the father impact on semen quality is of fundamental importance for providing better information to intending fathers. Furthermore, assisted reproductive practices such as in vitro fertilisation rely on our ability to select the best quality sperm from a diverse and heterogeneous population. With considerable advances in sequencing capabilities, our understanding of the molecular and epigenetic composition of the sperm and seminal plasma, and their association with male metabolic health, has developed dramatically over recent years. This review will summarise our current understanding of how a father's metabolic status at the time of conception can affect sperm quality, post-fertilisation embryonic and fetal development and offspring health.

Relationships are widely recognized as key to business success in the form of both informal interpersonal networks and formal organizational relationships. While Chinese personal networks (guanxi) have attracted scholars’ interest, the concept has not been fully investigated or understood in other contexts, especially the Middle East, where personal networks fulfill some of the same roles. The underlying socio-cultural formulae of the distinctive cultural dimensions that influence relationship formation in the Middle East also remain under-explored. This research therefore investigates the dimensions of guanxi-type relationships in the Middle East and introduces a new model integrating these relationships into the existing relationship marketing framework, enabling firms to harness personal networks for organizational gain, in turn generating customer satisfaction and retention. Using empirical data from a survey of 637 hotel guests in 17 countries – drawn from a unique target population of guests introduced to Middle Eastern hotels via personal relationships – we show how guanxi-type relationships influence organizational relationships and improve satisfaction and retention. Our significant contributions to theory and practice include extending a holistic understanding of guanxi, enhancing knowledge of its dimensions in the Middle East, and providing managers with clear evidence for a hybrid system of guanxi-type and organizational relationships.

Ever since the World Health Organization (WHO) declared the new coronavirus disease 2019 (COVID-19) as a pandemic, there has been a public health debate concerning medical resources and supplies including hospital beds, intensive care units (ICU), ventilators and protective personal equipment (PPE). Forecasting COVID-19 dissemination has played a key role in informing healthcare professionals and governments on how to manage overburdened healthcare systems. However, forecasting during the pandemic remained challenging and sometimes highly controversial. Here, we highlight this challenge by performing a comparative evaluation for the estimations obtained from three COVID-19 surge calculators under different social distancing approaches, taking Lebanon as a case study. Despite discrepancies in estimations, the three surge calculators used herein agree that there will be a relative shortage in the capacity of medical resources and a significant surge in PPE demand if the social distancing policy is removed. Our results underscore the importance of implementing containment interventions including social distancing in alleviating the demand for medical care during the COVID-19 pandemic in the absence of any medication or vaccine. The paper also highlights the value of employing several models in surge planning.