Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparison of Abused, Neglected, and Normal Children Utilizing the Children's Behavioral Classification Project.

The purpose of this study was to compare responses of mothers of abused, neglected and normal children to the Children's Behavioral Classification Project (CBCP) in order to identify distinct behavioral characteristics of each of these groups of children. In addition, Edward's Social Desirability Scale was administered to the mothers of these children in order to determine if these mothers tended to respond to questionnaires in socially desirable ways. The sample consisted of 10 mothers of abused children, 10 mothers of neglected children, 10 mothers of normal children matched to the abused group of children, and 10 mothers of normal children matched to the neglected group of children. The groups of normal children were matched to the groups of abused and neglected children according to age, sex, and race. The mothers of the normal children were matched to the mothers of the abused and neglected children according to race and income. Coefficients of profile similarity (the Tp) on the CBCP were computed among cell pairs of the 40 subjects. A cluster analysis of the coefficient matrix was completed by use of the Numerical Taxonomy System. From this analysis, 30 subjects were clustered into nine dis­ tinct clusters. Many of the clusters derived did not distinguish clearly between the abused, neglected and normal groups of children. Some clusters delineated, however, were comprised predominantly of abused children, and others were comprised predominantly of neglected children. With such results, it was concluded that a conglomerate picture exists in regard to the personality factors of abused and neglected children.
Stock Return Prediction with SSESTM Model using Quarterly Japanese Company Handbook

In this study, we perform an empirical analysis of text-mining methodology that extracts sentiment information to predict stock returns. We use the Quarterly Japanese Company Handbook, which is a widely-acclaimed quarterly publication on the Japanese stock exchange, but there are few studies using it. As for the sentiment analysis model, we focus on the Supervised Sentiment Extraction via Screening and Topic Modeling (SSESTM). It has been proposed as a sentiment analysis specialized for stock return forecasting and produced a substantial profit in the U.S. stock market. The SSESTM using the stock return as a teacher label, but we propose using the specific return. The stock return can be decomposed into various common factors such as market and size, and firm-specific return. The Quarterly Japanese Company Handbook provides the comments of companies' earnings forecasts, and it is considered more useful for forecasting specific returns than stock returns including common factors. We examine for prediction the specific return in the Japanese market using Quarterly Japanese Company Handbook. As a result, we confirm that the SSESTM model using four years of articles in the training data gave relatively good results for the high quantile stock groups, but not for the low quantile stocks.
Network Scale Travel Time Prediction using Deep Learning

In recent years, deep learning models have been receiving increased attention within the artificial intelligence (AI) community because of their high prediction accuracy. In this paper, two deep learning models, long short-term memory (LSTM) and convolutional neural network (CNN), are proposed to predict travel time in a road network. One major advantage of using deep learning for travel time prediction is that it can make accurate predictions for all the segments in the transportation network with a single model structure, instead of building customized models for each segment separately. The proposed models were evaluated on a transportation network in the City of Saint Louis, Missouri. The prediction results show that deep learning can provide accurate prediction for both congested and uncongested traffic conditions, and can successfully capture the traffic dynamics of unexpected incidents or special events. The study findings show that deep learning offers a promising approach to real-time prediction of travel times on a network scale.
First-Order Piezoresistive Coefficients of Lateral NMOS FETs on 4H Silicon Carbide

Stress dependent properties and modeling of lateral enhancement-mode NMOS FETS on 4H silicon carbide are described in detail for a wide range of bias conditions. NFET stress response is shown to include a strong threshold voltage component in addition to the expected mobility component, and a theoretical model for the stress dependencies closely matches the measured data. Values of the longitudinal and transverse piezoresistive coefficients are extracted from linear region measurements of the MOS transistors as a function of gate drive for the both crystallographic and chip coordinate systems. At low gate drive, threshold variations become much more important than the classic mobility terms, whereas high gate drive is utilized to extract the mobility terms from the data. Design of a four-transistor temperature compensated stress sensor rosette that requires a value of only one combined piezoresistive coefficient is also presented.
Object Handling for People With Dementia: A Scoping Review and the Development of Intervention Guidance

Abstract Background and Objectives Among the various psychosocial interventions aiming at improving behavior, quality of life, and the well-being of people with dementia, one that has attracted recent attention has been object handling. This scoping review synthesizes available studies on object handling for people with dementia, their effects, and methodological characteristics and describes its components and likely domains. Research Design and Methods The search was conducted using CINAHL, PsycINFO, MEDLINE, PsycARTICLES, Academic Search Elite, and Art Full Text, plus review of reference lists and hand search. Data from the studies included were chattered and reported in narrative form. Results Eleven studies were included; of which, 9 described a group intervention and 10 investigated the distinctive value of heritage items. Studies used a mixed-methods or qualitative design and varied in their procedures, including number of sessions and length of intervention. Most studies reported positive effects on well-being, mood, and emotion in those with dementia. Qualitative investigations revealed that the co-construction of an object’s meaning facilitated new learning, social inclusion, and change in attitudes toward dementia. From the review and stakeholder consultations, a definition of object handling is proposed, which includes three components: presenting, receiving, and responding. Discussion and Implications The findings suggest that people with dementia may benefit from object handling interventions as a means of improving well-being, mood, and social inclusion. The review highlighted a variety of approaches used and a small number of studies were identified under the term of “object handling. ” Further studies are needed to examine the complexity of object handling, its impact within dementia care settings, and that explicitly use the term “object handling. ” Given the focus to date on heritage, archive, and museum objects, more studies involving the handling of everyday material objects are needed because these are by definition highly accessible.
Evaluating the Potential Socioeconomic Impact of a Proposed Sugarcane Factory on the Village of Mueang Phia, Thailand

Thailand is the world’s second largest exporter of sugar, and under the 10-Year Cane and Sugar Strategy (2015–2024), the Thai government has granted an expansion of 13 new sugarcane factories. While most research focuses on the environmental consequences of sugarcane production, this paper examines the potential socioeconomic impact of a proposed sugarcane factory on a nearby (base) village by comparing it to a similar (treatment) village within the same region near an existing sugarcane factory. We find that treatment villagers have higher household income mainly due to their sugarcane-based village economy. They also disclose better perceived environmental quality while results for perceived health status are mixed. Yet, base villagers report higher perceived quality of life, likely due to factors beyond the socioeconomic conditions investigated in this study. Thus, the presence of a sugarcane factory, while socioeconomically favorable, may compromise other aspects of village life that contribute to its overall quality.
Allicin in Digestive System Cancer: From Biological Effects to Clinical Treatment

Allicin is the main active ingredient in freshly-crushed garlic and some other allium plants, and its anticancer effect on cancers of digestive system has been confirmed in many studies. The aim of this review is to summarize epidemiological studies and in vitro and in vivo investigations on the anticancer effects of allicin and its secondary metabolites, as well as their biological functions. In epidemiological studies of esophageal cancer, liver cancer, pancreatic cancer, and biliary tract cancer, the anticancer effect of garlic has been confirmed consistently. However, the results obtained from epidemiological studies in gastric cancer and colon cancer are inconsistent. In vitro studies demonstrated that allicin and its secondary metabolites play an antitumor role by inhibiting tumor cell proliferation, inducing apoptosis, controlling tumor invasion and metastasis, decreasing angiogenesis, suppressing Helicobacter pylori, enhancing the efficacy of chemotherapeutic drugs, and reducing the damage caused by chemotherapeutic drugs. In vivo studies further demonstrate that allicin and its secondary metabolites inhibit cancers of the digestive system. This review describes the mechanisms against cancers of digestive system and therapeutic potential of allicin and its secondary metabolites.
PATHOGENETIC MECHANISMS AND PREVENTION OF RADIATION DAMAGE TO ORGANS AND TISSUES OF THE ORAL CAVITY

Today it has been proven that the basis of the damaging effects of radionuclides entering the body is the transfer of energy to target tissues. Such lesions, in contrast to radiation sickness resulting from external gamma irradiation, are characterized by a weak severity of the primary reaction, the early appearance of dysfunction of critical organs, a slow course of recovery processes, a more pronounced long-term pathology. The issues of rehabilitation of children exposed to radiation in Russia began to deal with almost immediately after the Chernobyl accident. The system of special medical and preventive events which included was developed and approved: elimination of radionuclides from the child's organism, decrease of the activity of free radical processes, immunocorrective therapy, the differentiated methods of prevention of progressing of a disease and the three-level system of medical examination.
Relationship between Psychological Distress, Basic Psychological Needs, Anxiety, Mental Pressure, and Athletic Burnout of Chinese College Football Athletes during the COVID-19 Pandemic

The rapid spread of the COVID-19 pandemic in early 2020 poses a significant threat to mental health, which may lead to psychological stress in a number of individuals. Athlete burnout is a common psychological phenomenon that has a negative influence on their sports career. The main purpose of this study was to evaluate the relationship between psychological distress and athletic burnout among Chinese college football athletes during the COVID-19 pandemic, and the mediating role of basic psychological needs, anxiety and mental pressure. In an online cross-sectional survey conducted in February 2022, the team coaches sent an electronic questionnaire to college football athletes. Participants completed questionnaires on relevant variables. Pearson correlation analysis and mediation effect analysis were carried out by using SPSS software and its plug-in process V3.3. The study included 672 participants and the results showed that: (1) psychological distress, basic psychological needs, anxiety, mental pressure and athletic burnout were significantly pairwise correlated, (2) mental pressure, anxiety and basic psychological needs play a mediating role between psychological distress and athletic burnout respectively, and (3) basic psychological needs and anxiety, basic psychological needs and mental pressure, anxiety and mental pressure, as well as mental pressure, anxiety and basic psychological needs respectively play a chain mediating role between psychological distress and athletic burnout. In conclusion, psychological distress during the COVID-19 pandemic is an important factor leading to athletic burnout among Chinese college football athletes and may further affect the level of athletic burnout through basic psychological needs, anxiety and mental pressure. The government and schools should strengthen the recognition of these factors in order to improve the situation of athletic burnout among Chinese college football athletes.
Plot size matters: Toward comparable species richness estimates across plot‐based inventories

Abstract To understand the state and trends in biodiversity beyond the scope of monitoring programs, biodiversity indicators must be comparable across inventories. Species richness (SR) is one of the most widely used biodiversity indicators. However, as SR increases with the size of the area sampled, inventories using different plot sizes are hardly comparable. This study aims at producing a methodological framework that enables SR comparisons across plot‐based inventories with differing plot sizes. We used National Forest Inventory (NFI) data from Norway, Slovakia, Spain, and Switzerland to build sample‐based rarefaction curves by randomly incrementally aggregating plots, representing the relationship between SR and sampled area. As aggregated plots can be far apart and subject to different environmental conditions, we estimated the amount of environmental heterogeneity (EH) introduced in the aggregation process. By correcting for this EH, we produced adjusted rarefaction curves mimicking the sampling of environmentally homogeneous forest stands, thus reducing the effect of plot size and enabling reliable SR comparisons between inventories. Models were built using the Conway–Maxell–Poisson distribution to account for the underdispersed SR data. Our method successfully corrected for the EH introduced during the aggregation process in all countries, with better performances in Norway and Switzerland. We further found that SR comparisons across countries based on the country‐specific NFI plot sizes are misleading, and that our approach offers an opportunity to harmonize pan‐European SR monitoring. Our method provides reliable and comparable SR estimates for inventories that use different plot sizes. Our approach can be applied to any plot‐based inventory and count data other than SR, thus allowing a more comprehensive assessment of biodiversity across various scales and ecosystems.
Warpage Prediction and Optimization for Embedded Silicon Fan-Out Wafer-Level Packaging Based on an Extended Theoretical Model

The fan-out package is designed to provide increased I/O density within a reduced form factor at a lower cost, as well as good electrical performance and heterogeneous integration capabilities, which has gained significant attention in recent years. However, warpage control during manufacturing process is a key character for fan-out packages. This paper focuses on the warpage prediction and optimization of embedded silicon fan-out (eSiFO) wafer-level package. An extended theoretical calculation model is applied and demonstrated, and the effects of various parameters on warpage were analyzed for optimization. By comparison with the experimental results, the finite-element modeling (FEM) simulation results and classic bimaterial model, the proposed extended theoretical calculation model is proven to be simple, fast, and effective for eSiFO wafer-level package. The effects of process steps, structural parameters, and material parameters were studied based on the extended theoretical model, and some advice on reducing warpage was given in the end. This paper offers an insight work for the warpage study of other embedded and fan-out packages.
Heterogeneous Domain Adaptation for Multistream Classification on Cyber Threat Data

Under a newly introduced setting of multistream classification, two data streams are involved, which are referred to as source and target streams. The source stream continuously generates data instances from a certain domain with labels, while the target stream does the same task without labels from another domain. Existing approaches assume that domains for both data streams are identical, which is not quite true, since data streams from different sources may contain distinct features. Indeed, they may even have different numbers of features. Furthermore, obtaining labels for every instance in a data stream is often expensive and time-consuming. Therefore, it has become an important topic to explore if classes of labeled instances from other related streams are helpful to predict the classes of unlabeled instances in a different stream. Note that domains of source and target streams may have distinct feature spaces and data distributions. Our objective is to predict class labels of data instances in the target stream by using the classifiers trained by the source stream. We propose a framework of multistream classification by using projected data from a common latent feature space, which is embedded from both source and target domains. This framework is also crucial for enterprise system defenders to detect cross-platform attacks, such as Advanced Persistent Threats (APTs). Empirical valuation and analysis on both real-world and synthetic datasets are performed to validate the effectiveness of our proposed algorithm, comparing to state-of-the-art techniques. Experimental results show that our approach significantly outperforms other existing approaches.
The Combinatory Effect of Spirulina Supplementation and Resistance Exercise on Plasma Contents of Adipolin, Apelin, Ghrelin, and Glucose in Overweight and Obese Men

Methods The current investigation was conducted in a single-blind and quasiexperimental fashion. Sixty overweight and obese men (BMI > 25) ranging in age from 30 to 55 years were purposefully selected and randomly assigned to one of four groups: training plus spirulina (T+S), training plus placebo (T+P), spirulina (S), or placebo (P). For eight weeks, the (S) and (P) groups consumed two 500 mg spirulina and placebo capsules daily, respectively. Resistance training was performed three sessions a week over eight weeks, consisting of 12 movements with 1-, 2-, 3-, and 4-minute rest intervals and 40-90 percent maximal repetition. Adipolin, apelin, and ghrelin indices were measured before and after exercise using special kits. Results All variables changed significantly between groups except for apelin. Within-group comparisons revealed a substantial increase in adipolin levels in the (T+S) and (T+P) groups (P < 0.05). Apelin levels were decreased in the (T+S) and (T+P) groups. Additionally, FBS levels reduced significantly in (T+S) (P = 0.01). Conclusion It seems that eight weeks of circuit resistance training and spirulina supplementation can lead to reduced weight and apelin and FBS levels as well as increased concentrations of adipolin and ghrelin contents in overweight and obese men.
The Politicisation of Archaeology in Border Demarcation Conflict in the Asia Pacific Region

ABSTRACT Within contemporary developments of Asian regional security, a core undertone of conflict catalysts and motivations for territorial claims is directly motivated through archaeological findings. These findings include artefacts and settlements, which are utilised to justify political and territorial claims in the region. This overlooked factor will be analysed using three regional case studies through an archaeological and security studies lens. The research aims to further understand Asia Pacific regional security and political disputes and reflect conflict motivation undertones of each interacting nation-state. The article assesses core case studies of Chinese claims in the South China Sea, Japanese and Korean island claims, and Thai-Cambodian temple disputes. The research will analyse how site evidence becomes politicised to justify territorial claims in Asia- Pacific. Through interdisciplinary research, the article will conclude with a greater understanding of assessing conflict development and motivations between state actors in the Asia Pacific region.
Method for evaluation of concrete containment structure subjected to earthquake excitation and internal pressure increase

This study evaluates capabilities of the VecTor4 computer program to assess the seismic performance of a concrete containment structure subjected to both design‐basis and beyond design‐basis earthquakes. Based on a detailed nonlinear finite element model of the nuclear power plant containment structure, the seismic performance in terms of stress and strain distributions, cracks, yielding of reinforcement bars and tendons, as well as overall failure mechanism, is thoroughly reviewed. In addition, the post‐seismic performance of the containment structure subjected to a subsequent pressure increase is also investigated. Consideration is also given to the time‐dependent parameters of creep, shrinkage, and relaxation of prestressing tendons. It is found that the time‐dependent parameters and earthquake have a non‐negligible impact on pressure‐induced structural performance but that this impact can be predicted for a given earthquake. The proposed method is useful for assessing the progressive failure behaviour of containment structure under chain events.
International Students' Experiences of Content Language Integrated Learning in a Korean University: Focusing on Korean as a Medium of Instruction

This study explores international graduate students' experiences of content-language integrated learning (CLIL) at a university in Korea. This study focuses on a course that allows international students to simultaneously learn the Korean language and content knowledge. Korean as a medium of instruction (KMI) was applied to 16 international graduate students in two graduate courses during the 2021 Fall semester. The survey examines the perception and satisfaction of students' experiences in the KMI classes. Among survey participants, interview applicants were selected for in-depth interviews. Study results showed that international graduate students developed content knowledge through KMI classes. They also improved their Korean language ability. Overall, international students were generally satisfied with KMI classes. However, it is difficult for international students to dramatically enhance their Korean academic proficiency within one semester. Recommendations are provided on effectively conducting CLIL classes, such as KMI for international students in higher education.
Improvements Evaluation of High-Speed Electro-Optical Integrated Thin-Film Microwave Coupler SOA-based Space Switch

The speed and transient improvements due to a thin-film microwave coupler on a high-speed SOA-based space switch are analyzed. The switch performance is compared with another one using the same SOA device but in its commercial butterfly encapsulated form factor. Through an extensive experimental characterization and an automated algorithm analysis, the switching actions were evaluated in several SOA operational conditions (bias current, electrical pulse step amplitude, pre-impulse amplitude, and switching technique) employing metrics related to the switching times and transient behavior intensity. The results showed that the thin-film coupler SOA switch mounting led to switching time improvements and quicker optical output pulse stabilization. In conjunction with the appropriated switching technique, the device could achieve switching speeds around 200 ps aiming its operation in high-speed optical networks.