bluuebunny/crossref_metadata_2025_split huggingface dataset:
Female perpetrators of child sexual abuse in the United States
Authors: Scurich Nicholas 
Published: August 2023

PurposeResearch on women who sexually abuse children is relatively scarce and tends to rely on small or unrepresentative convenience samples. The purpose of the current descriptive study is to examine characteristics female perpetrators of child sexual abuse using a large and contemporary dataset.Design/methodology/approachThis study analyzes data collected by the National Child Abuse and Neglect Data System, which is a census of all child protective services investigations or assessments conducted in all 50 states, as well as in the District of Columbia and Puerto Rico from October 1, 2018, to September 30, 2019.FindingsOnly substantiated cases of sexual abuse were analyzed (n= 51,442 cases). Overall, 7.6% of the perpetrators were female, though the percentage of female perpetrators varied dramatically across states from less than 1% to over 36%. Female perpetrators tended to have younger victims than did male perpetrators. For children aged 2 or less, female perpetrators constituted approximately 20% of the abusers. Female perpetrators were more likely to victimize male and female children, whereas male perpetrators predominantly had female victims. More female perpetrators had a prior finding of maltreatment than did male perpetrators (32.3% vs 23.5%).Research limitations/implicationsThese findings add to the limited research base on female perpetrators of child sexual abuse and highlight avenues for further research into the differences between male and female sexual abusers.Originality/valueThis study is a replication of previous research but also provides additional novel findings.
Modelling the WELL building concepts for office environments: PLS-SEM approach
Authors: Tan Carmen Y.M. , Rahman Rahimi A. , Lee Yong Siang 
Published: August 2023

Purpose
The health, well-being and productivity (i.e. WELL) of office building occupants are vulnerable to poor office environments. Therefore, this study aims to identify new features and concepts of office buildings in supporting occupants’ WELL. To achieve that aim, this study: explores new WELL features for office buildings, develops new WELL concepts for office buildings and examines the influence of the newly developed WELL concepts on existing WELL building standard (WELL v2) concepts.

Design/methodology/approach
The first phase involved ten experts to assign weightage for health, well-being and productivity. In the second phase, 206 questionnaire survey data were collected from office building occupants throughout Malaysia. Exploratory factor analysis established new WELL concepts for office buildings. Partial least-squares structural equation modelling examined the influence of the newly developed WELL concepts on the existing WELL v2 concepts.

Findings
Two new WELL concepts were developed: “space and services”, consisting of sufficient space, workstation privacy, office layouts, building automation systems, cleanliness and information technology (IT) infrastructure, and “building security”, consisting of security systems and safety at parking lots. Here, “space and services” influences all existing WELL v2 concepts, and “building security” influences the water, nourishment, mind and community concepts of WELL v2.

Originality/value
This study uncovers holistic WELL building concepts to support occupants’ health, well-being and productivity with additional new features and concepts for construction industry policymakers to establish holistic building assessment tools.
Factors influencing residential location choice: learnings from the Indian context
Authors: Saini Preety , Pandit Debapratim 
Published: August 2023

PurposeThe purpose of the present study is to explore the factors that influence the residential location choice of households in the Indian context.Design/methodology/approachTwo sub-urban towns of Kolkata, i.e. Biddhanagar Municipal Corporation and Rajarhat Newtown, are taken as case studies. In total, 34 variables are considered related to the household's socioeconomic background (10), dwelling (3), travel (2) and level of importance of neighborhood characteristics (19). A revealed preference household survey is conducted, which resulted in the collection of 390 samples. Firstly, 19 level of importance variables are deduced to 3 latent factors using exploratory and confirmatory factor analysis. After that, a utility function is estimated using a multinomial logit regression to identify significant factors.FindingsThe results indicate the significance of car ownership, work travel time, work mode, monthly income, proximity to work, proximity to family/relative/friends, proximity to quality schools, quality of physical infrastructure such as water availability, power availability and housing typology among others in the residential location choice of households.Research limitations/implicationsKolkata, a major metropolitan area in eastern India, has been experiencing space constraints to cater to the housing demand of the ever-increasing population. Although satellite towns are being developed, the infrastructure landscape in such towns is uneven, resulting in more housing demand in one area than another. The study furnishes significant findings to develop more informed policies to attract households in low-demand areas and manage high-demand areas to achieve sustainable planning.Originality/valueConsidering the importance of geographical context, it is the first study on residential location choice, providing a perspective of household behavior from eastern India. It also shows the importance of physical infrastructure attributes in residential location choice for developing countries, which is seldom employed in the current practice. Moreover, previous studies (although few) done in India consider the objective value of location characteristics. The present study focuses on subjective value or the level of importance perceived by respondents.
Reflections on theses of experimental reports for the master of translation and interpreting in China (2012–2022)
Authors: Zou Deyan , Wang Binghui 
Published: August 2023

Purpose
The number of universities offering Master of Translation and Interpreting (MTI) in China has increased to 316 in 15 years. This paper aims to take a closer look at the production patterns of experimental report theses in terms of total number, distribution across universities, supervision model and research content, reflects on the problems and suggests improvements, provides a reference for MTI education in China and beyond.

Design/methodology/approach
This paper presents a bibliometric analysis of the published final theses of experimental reports for the MTI in China between the years 2012 and 2022, the period during which this type of thesis was produced, to identify the production patterns of these theses.

Findings
The number of experimental reports published by the nine leading universities accounts for 80% of the total 296 papers. The uneven development is also reflected in the supervision model and research content. Most universities can structure the main content of theses according to the suggestions of the MTI Guidance Training Outline. However, there are still deficiencies in the areas of experimental design, experimental validity, research questions and academic standards.

Originality/value
This paper reflects on the problems of MTI theses of experimental reports. Also, suggestions are made for linking top-level design and university education, for joint progress in faculty development and talent training and for integrating industrial aspects and international visions, to provide a reference for MTI education in China and beyond.
Wearable sensors for human activity recognition based on a self-attention CNN-BiLSTM model
Authors: Huafeng Guo , Changcheng Xiang , Shiqiang Chen 
Published: August 2023

Purpose
This study aims to reduce data bias during human activity and increase the accuracy of activity recognition.

Design/methodology/approach
A convolutional neural network and a bidirectional long short-term memory model are used to automatically capture feature information of time series from raw sensor data and use a self-attention mechanism to learn select potential relationships of essential time points. The proposed model has been evaluated on six publicly available data sets and verified that the performance is significantly improved by combining the self-attentive mechanism with deep convolutional networks and recursive layers.

Findings
The proposed method significantly improves accuracy over the state-of-the-art method between different data sets, demonstrating the superiority of the proposed method in intelligent sensor systems.

Originality/value
Using deep learning frameworks, especially activity recognition using self-attention mechanisms, greatly improves recognition accuracy.
Numerical study on the effect of pillar material on the frequency shift of coupled quartz crystal resonator with pillar
Authors: Xie Yi , Zheng Baojin 
Published: August 2023

Purpose
This paper aims to apply the novel numerical model to analyze the effect of pillar material on the response of compound quartz crystal resonator (QCR) with an array of pillars. The performance of the proposed device compared to conventional QCR method was also investigated.

Design/methodology/approach
A finite element method model was developed to analyze the behavior of QCR coupled with an array of pillars. The model was composed of an elastic pillar, a solution and a perfectly matched layer. The validation of the model was performed through a comparison between its predictions and previous experimental measurements. Notably, a good agreement was observed between the predicted results and the experimental data.

Findings
The effect of pillar Young’s modulus on the coupled QCR and pillars with a diameter of 20 µm, a center-to-center spacing of 40 µm and a density of 2,500 kg/m3 was investigated. The results indicate that multiple vibration modes can be obtained based on Young’s modulus. Notably, in the case of the QCR–pillar in air, the second vibration mode occurred at a critical Young’s modulus of 0.2 MPa, whereas the first mode was observed at 3.75 Mpa. The vibration phase analysis revealed phase-veering behavior at the critical Young’s modulus, which resulted in a sudden jump-and-drop frequency shift. In addition, the results show that the critical Young’s modulus is dependent on the surrounding environment of the pillar. For instance, the critical Young’s modulus for the first mode of the pillar is approximately 3.75 Mpa in air, whereas it increases to 6.5 Mpa in water.

Originality/value
It was concluded that the performance of coupled QCR–pillar devices significantly depends on the pillar material. Therefore, choosing pillar material at critical Young’s modulus can lead to the maximum frequency shift of coupled QCR–pillar devices. The model developed in this work helps the researchers design pillars to achieve maximum frequency shift in their measurements using coupled QCR–pillar.
Perspectives on the scientific legacy of J. Philip Grime
Authors: Fridley Jason D. , Liu Xiaojuan , Pérez‐Harguindeguy Natalia , Chapin F. Stuart , Crawley Mick , De Deyn Gerlinde , Díaz Sandra , Grace James B. , Grubb Peter , Harrison Susan , Lavorel Sandra , Liu Zhimin , Pierce Simon , Schmid Bernhard , Stevens Carly , Wardle David A. , Westoby Mark 
Published: August 2023

Abstract

Perhaps as much as any other scientist in the 20th century, J.P. Grime transformed the study of plant ecology and helped shepherd the field toward international prominence as a nexus of ideas related to global environmental change. Editors at the Journal of Ecology asked a group of senior plant ecologists to comment on Grime's scientific legacy.

This commentary piece includes individual responses of 14 scientists from around the world attesting to Grime's foundational role in plant functional ecology, including his knack for sparking controversy, his unique approach to theory formulation involving clever experiments and standardized trait measurements of large numbers of species, and the continued impact of his work on ecological science and policy.
Seasonal shifts in community composition and proteome expression in a sulphur‐cycling cyanobacterial mat
Authors: Grim Sharon L. , Stuart Dack G. , Aron Phoebe , Levin Naomi E. , Kinsman‐Costello Lauren , Waldbauer Jacob R. , Dick Gregory J. 
Published: August 2023

AbstractSeasonal changes in light and physicochemical conditions have strong impacts on cyanobacteria, but how they affect community structure, metabolism, and biogeochemistry of cyanobacterial mats remains unclear. Light may be particularly influential for cyanobacterial mats exposed to sulphide by altering the balance of oxygenic photosynthesis and sulphide‐driven anoxygenic photosynthesis. We studied temporal shifts in irradiance, water chemistry, and community structure and function of microbial mats in the Middle Island Sinkhole (MIS), where anoxic and sulphate‐rich groundwater provides habitat for cyanobacteria that conduct both oxygenic and anoxygenic photosynthesis. Seasonal changes in light and groundwater chemistry were accompanied by shifts in bacterial community composition, with a succession of dominant cyanobacteria from Phormidium to Planktothrix, and an increase in diatoms, sulphur‐oxidizing bacteria, and sulphate‐reducing bacteria from summer to autumn. Differential abundance of cyanobacterial light‐harvesting proteins likely reflects a physiological response of cyanobacteria to light level. Beggiatoa sulphur oxidation proteins were more abundant in autumn. Correlated abundances of taxa through time suggest interactions between sulphur oxidizers and sulphate reducers, sulphate reducers and heterotrophs, and cyanobacteria and heterotrophs. These results support the conclusion that seasonal change, including light availability, has a strong influence on community composition and biogeochemical cycling of sulphur and O2 in cyanobacterial mats.
The significance of renewable energy, globalization, and agriculture on sustainable economic growth and green environment: Metaphorically, a two‐sided blade
Authors: Aziz Ghazala , Sarwar Suleman , Waheed Rida , Khan Mohd Saeed 
Published: August 2023

AbstractThe study investigates the effects of renewable energy, globalization, and agriculture on long‐term economic progress and the environment. Using a data set of Gulf Council of Countries (GCC) from 1980 to 2019, the study used panel fully modified ordinary least squares and dynamic ordinary least squares techniques. Panel data analysis results indicate the relevance of globalization, foreign investment, and trade in enhancing long‐term economic growth. Capital and globalization are the fundamental sources of environmental degradation, whereas renewable energy and trade are essential variables for mitigating environmental externalities. Agriculture has no effect on economic advancement or environmental quality in certain countries. In cross country analysis, the United Arab Emirates, Oman, and Saudi Arabia are found to be significant but negatively related to economic growth. Capital formation and globalization have a substantial positive impact on the environment for all countries. Renewable energy and agriculture have been found to be insignificantly connected to all GCC nations' economic growth. The study urges the policymakers to consider the current scenario of Gulf countries, as they are on the cusp of a double‐edged sword. The findings have numerous policy ramifications, notably for GCC countries.
Form follows function: Applying photographic content analysis to forensic firearm identification
Authors: Chaikovsky Alan , Pasternak Zohar , Finkelstein Nir , Chattah Netta Lev Tov , Silchenko Alexander , Levy Ophir , Cohen Amit 
Published: August 2023

AbstractDrawing forensic conclusions from an image or a video is known as “photographic content analysis.” It involves the analysis of an image, as well as objects, actions, and events depicted in images or video. In recent years, photographic depictions of objects suspected as illegal firearms have substantially increased, appearing on CCTV surveillance footage, captured by mobile phones and shared on social media. However, the law in Israel states that a person can be charged with illegally possessing a firearm only if it can be proven that the object is capable of shooting with lethal bullet energy. This becomes more challenging in cases where the firearm was not physically seized, and the evidence exclusively consists of images and video. In this study, photographic content analysis was applied to images and video where objects suspected as commercial or improvised firearms had been depicted. An image and event sequence reconstruction video databases of both firearms and replicas were created in order to better define firearm‐specific functional morphological features. We demonstrate that it is possible to classify an object as a firearm by analyzing the functional, and not only the esthetic, morphology in images and video. It is also shown that event sequence reconstruction in video may be used to infer that an object suspected as a firearm has the capacity to shoot by confirming the occurrence of a shooting act or shooting process. Thus, photographic content analysis may be used to forensically establish that an object depicted in an image or a video is a firearm by ruling out other known scenarios, and without physically seizing it.
Reduction of lauric acid content in virgin coconut oil improved plasma lipid profile in high‐fat diet‐induced hypercholesterolemic mice
Authors: Chatturong Usana , Palang Iyapa , To‐on Kittiwoot , Deetud Watcharakorn , Chaiwong Suriya , Sakulsak Natthiya , Sonthi Phattarapon , Chanasong Rachanee , Chulikorn Ekarin , Kanprakobkit Winranath , Wittaya‐areekul Sakchai , Kielar Filip , Chootip Krongkarn 
Published: August 2023

AbstractVirgin coconut oil (VCO) is claimed to have various health benefits, but favorable effects of its major component (∼50%), lauric acid, are controversial. Therefore, we aimed to reduce lauric acid content (∼30%) in VCO and evaluate its effect compared to VCO and medium‐chain triglycerides (MCT), on food intake, bodyweight (BW), lipid profiles, and hepatic histology. Female C57BL/6 mice were treated with different diets for 3 months: control (normal diet), high‐fat diet (HF), HF + VCO, HF + MCT, HF + low lauric acid VCO (LLA), and normal diet + LLA (C + LLA). LLA was prepared by enzymatic interesterification of VCO with methyl octanoate (methyl caprylate) and methyl decanoate (methyl caprate). Plasma and liver lipids, including total cholesterol (TC), high‐density lipoprotein (HDL), and triglyceride, were measured by colorimetric assay, and hepatic fat accumulation was examined by oil‐red‐O staining. HF mice exhibited high plasma and liver TC and low‐density lipoprotein (LDL). VCO or MCT treatment lowered liver TC and LDL, whereas LLA increased plasma HDL and markedly improved TC:HDL ratio. The HF‐induced hepatic fat accumulation was attenuated by all treatments, of which VCO was the most effective. Control mice administered with LLA demonstrated lower liver TC and LDL, but higher plasma TC and HDL compared to controls. Lowest BW gain and food intake were found in mice treated with LLA. In conclusion, VCO, MCT, and LLA ameliorated hepatic histopathology caused by HF. VCO and MCT improved liver lipid profiles, whereas LLA has more beneficial effect on plasma lipids via a better TC:HDL ratio and showed promise for BW control.
Non‐A to E hepatitis in children: Detecting a novel viral epidemic during the COVID‐19 pandemic
Authors: Brüssow Harald 
Published: August 2023

AbstractDuring the COVID‐19 pandemic, two further novel viral epidemics were described in 2022, monkeypox virus infections in men having sex with men and non‐A to E hepatitis in children. The latter occurred in the first half of 2022 with about 1000 cases worldwide, necessitating liver transplantation in 5% and causing death in 2% of patients. It took some effort to clarify the cause of the novel hepatitis epidemic. Researchers were confronted with a polymicrobial viral infection consisting of an adenovirus‐associated virus type 2 (AAV2) infection, co‐occurring with either human adenovirus type 41 (HAdV41) or herpesvirus infections; most prominently human herpesvirus type 6 (HHV‐6). AAV‐2, a small Dependovirus of the Parvovirus family, needs these helper viruses for its replication. AAV2 is used as a vector for liver‐targeting gene therapy but was not previously known to cause acute hepatitis. HAdV41 and HHV‐6 are mostly known to cause diarrhoea and febrile illnesses associated with skin rashes in children, respectively. Except for a few case reports of HHV‐6 hepatitis, HAdV and HHV‐6 are mostly known as major pathogens in immunosuppressed transplantation patients. A potential role of SARS‐CoV‐2 has also been discussed but the most popular hypothesis involves an indirect role of the COVID‐19 pandemic for this novel disease. Exposure to HHV‐6 infections occurs nearly quantitatively during the first year of life. Social distancing measures, followed by the lifting of these measures in 2022 might have caused a delayed exposure to multiple, normally benign childhood viral infections eliciting a dysregulated immune response with pathological effects for liver cells. In the fall of 2022, when these conditions were not longer met, case numbers dwindled. The hypothesis of an unequilibrated immune response instead of intrinsic cytopathic activity of the implicated viruses is further supported by the enrichment of a particular HLA allele in cases over controls.
Suppression of FOXO1 attenuates inflamm‐aging and improves liver function during aging
Authors: Yang Wanbao , Kim Da Mi , Jiang Wen , Ai Weiqi , Pan Quan , Rahman Shahina , Cai James J. , Brashear Wesley A. , Sun Yuxiang , Guo Shaodong 
Published: August 2023

AbstractThe liver is a key metabolic organ that maintains whole‐body nutrient homeostasis. Aging‐induced liver function alterations contribute to systemic susceptibility to aging‐related diseases. However, the molecular mechanisms of liver aging remain insufficiently understood. In this study, we performed bulk RNA‐Seq and single‐cell RNA‐Seq analyses to investigate the underlying mechanisms of the aging‐induced liver function changes. We found that liver inflammation, glucose intolerance, and liver fat deposition were aggravated in old mice. Aging significantly increased pro‐inflammation in hepatic macrophages. Furthermore, we found that Kupffer cells (KCs) were the major driver to induce pro‐inflammation in hepatic macrophages during aging. In KCs, aging significantly increased pro‐inflammatory levels; in monocyte‐derived macrophages (MDMs), aging had a limited effect on pro‐inflammation but led to a functional quiescence in antigen presentation and phagosome process. In addition, we identified an aging‐responsive KC‐specific (ARKC) gene set that potentially mediates aging‐induced pro‐inflammation in KCs. Interestingly, FOXO1 activity was significantly increased in the liver of old mice. FOXO1 inhibition by AS1842856 significantly alleviated glucose intolerance, hepatic steatosis, and systemic inflammation in old mice. FOXO1 inhibition significantly attenuated aging‐induced pro‐inflammation in KCs partially through downregulation of ARKC genes. However, FOXO1 inhibition had a limited effect on aging‐induced functional quiescence in MDMs. These results indicate that aging induces pro‐inflammation in liver mainly through targeting KCs and FOXO1 is a key player in aging‐induced pro‐inflammation in KCs. Thus, FOXO1 could be a potential therapeutic target for the treatment of age‐associated chronic diseases.