Miracle-dz/UniFAR-FTUs huggingface dataset:
Physiotherapy Rehabilitation for Dementia in Elderly Population

Dementia can be broadly defined as depletion in cognitive performance which makes a person unable to meet multiple intellectual demands of daily life. Dementia is acquired, persistent impairment not by delirium in multiple areas of intellectual function. Some dementia types are progressive but others may be persistent or plateau. Sometimes in cases, the onset can be insidious, as is generally the case in AD, but in many cases, whether something develops after head trauma or stroke, the onset of dementia may be acute, particular. While most dementias are the result of changes in the brain structure, infections and metabolic causes can be treated with success. We are confronted with a diagnostic criterion as we delve into the area of dementia and the increasingly expanding area of dementia research.
ANALYSIS OF THE COMPETITION, COOPERATION, AND COOPETITION: A COMPARISON BETWEEN PLANNED AND UNPLANNED RETAILER CLUSTERS

Purpose – The purpose of this study was to verify if there are significant differences between planned and unplanned retailer clusters about the competition, cooperation, and coopetition. Design/methodology/approach – An exploratory and quantitative study was carried out by an Exploratory Factor Analysis and Multigroup Analysis-PLS. A questionnaire was applied to 535 companies belonging to the planned and unplanned clusters of the automobile and furniture retail in São Paulo city. Findings – The findings indicate that is possible to identify, in both clusters surveyed, that there is no difference about the cooperation/collaboration analyzed, as well as about the coopetition whether they are low or high. Unlike the competition that presented greater predominance in the unplanned clusters. Thus, we can say that in these clusters, there is a greater deal of competition than cooperation. The research findings also could identify that when a company is inserted in a cluster, it has different strategy for retail businesses relationships of cooperation, competition and coopetition. Originality/value – The major contribution of this study to the literature and administrative implications is the identification that when a company is inserted in a cluster, it has a different strategy for retail businesses relationships of cooperation, competition and coopetition.
Millimeter-Wave Microstrip Antenna Arrays with Waveguide Feed Network

A major restriction of high gain microstrip antenna arrays is found in their high losses, mainly due to the feeding network. In this contribution, design and results of three different microstrip array antennas with a low-loss waveguide feed network are presented. Interconnects between planar structures and waveguide network are done by slot coupling. The waveguide network for these test antennas was machined from aluminum, but in a later phase, it might be fabricated using plastic injection molding and electroplating to realize low-loss, low-cost planar mm-wave antennas. Übersicht Hohe Verluste, insbesondere durch planare Speisenetzwerke, bilden eine wesentliche Einschränkung für den Entwurf von planeren Antennengruppen mit hohem Gewinn. In diesem Beitrag werden Entwurf und Ergebnisse für drei verschiedene planare Antennen mit Hohlleiterspeisenetzwerk vorgestellt. Die Verbindung zwischen Speisehohlleiter und planeren Antennenelementen erfolgt mittels Schlitzkopplung. Für die hier vorgestellten Testantennen wurde das Speisenetzwerk aus Aluminium gefräst; später einmal könnte Kunststoffspritzgußtechnik und Metallisierung der Hohlleiterteile zu einer kostengünstigen Herstellung solcher Antennen beitragen. Für die Dokumentation Planare Antennen / Speisenetzwerke /Antennenverluste / Millimeterwellentechnik
Does Corporate Governance affect Earnings Management? A case study of Deposit Taking Saccos in South Rift Region, Kenya

Corporate governance practices are aimed at ensuring organization’s management provides transparent and accountable leadership. However, many Savings and Credit Cooperative Societies in Kenya are experiencing poor performance. The purpose of this study was to establish the relationship between corporate governance and earnings management of selected deposit taking savings and credit cooperative societies in South Rift region, Kenya. The study was guided by Agency theory, Stakeholders theory and Stewardship theory. The study adopted correlation research design in order to establish the relationship between the dependent and independent variable. The target population for the study was all the 12 deposit taking Savings and Credit Cooperative Societies in the counties of South Rift region. Data was analyzed by the use of descriptive and inferential statistics. Findings from the study demonstrated that board characteristics (r=0.522, P<0.05) had a moderate significant relationship with earnings management, audit committee (r=0.859, p<0.05) had a very strong positive correlation with earning management and ownership structure (r=0.689, p<0.05) was second factor which revealed a strong positive significant correlation with earning management of Deposit Taking Saccos in South Rift Region. In general, board characteristics, ownership structure and corporate governance influenced earning management by 70.1% (R = 0.701; p<0.05). Following the study findings, it was recommended that Deposit Taking Saccos should embrace effective corporate governance taking into consideration of board characteristics, audit committee and ownership structure. The study findings may be significant to Savings and Credit Cooperative Societies as they will acquire a new knowledge on the important aspect of corporate governance which enhances performance.
LUNA’S ÉTALE SLICE THEOREM

Luna’s Étale Slice Theorem is a theorem in algebraic geometry that characterizes particular quotients of varieties by reductive groups. This paper will detail a proof of this theorem, beginning by detailing properties of reductive groups and good quotients. This paper will then define the notion of an étale morphism and introduce a form of Zariski’s Main Theorem for G-morphisms, which will provide the required machinery for the proof.
AJMS-J.AJMSC.2019.10.001_proof 94..103

Let H be a connected subgraph of a connected graph G:The H-structure connectivity of the graph G, denoted by κðG;HÞ; is the minimum cardinality of a minimal set of subgraphs F 1⁄4 fH 0 1;H 0 2; . ;H 0 mg in G, such that everyH 0 i ∈ F is isomorphic toH and removal of F from Gwill disconnect G. TheH-substructure connectivity of the graph G, denoted by κsðG;HÞ; is the minimum cardinality of a minimal set of subgraphs F 1⁄4 fJ 0 1; J 0 2; . ; J 0 mg in G, such that every J 0 i ∈ F is a connected subgraph of H and removal of F from G will disconnect G: In this paper, we provide the H-structure and the H-substructure connectivity of the circulant graph Cirðn;ΩÞwhereΩ 1⁄4 f1; . ; k; n− k; . ; n− 1g; 1 ≤ k ≤ b2c and the hypercube Qn for some connected subgraphs H :
Assess Stress and Coping Strategies among Institutionalized and Non-Institutionalized Retired Senior Citizens

ObjectivesStress is a pervading phenomenon in life. Any event in life that a person finds threatening, difficult to cope with or causes excess pressure can be potential cause of stress. Retirement is one of the most important life events many of us will ever experience. This study aimed at comparing the stress and coping strategies among institutionalized and non-institutionalized retired senior citizens. Material and Methods In the present study Quantitative approach with Non-experimental, comparative survey design was used. 60 retired male senior citizens (30 institutionalized and 30 non-institutionalized) were selected as a sample through purposive sampling technique from selected area of Lucknow. Level of stress was assessed by Perceived stress Scale and coping strategies by Brief Cope scale. The study assumed that these are a significant difference between stress and coping strategies among institutionalized and noninstitutionalized retired senior citizens. Results The result revealed that maximum number of retired senior citizens (24.10+6.093 residing in old age home had higher stress as compare to the retied senior citizens (19.30+5.796) residing in non-institutionalized area, and maximum number of non-institutionalized senior citizens are using higher coping strategies (63.20+4.701) as compare to the residing in institutionalized home (60.73+5.2.1). Chi square was applied to assess the association of stress and coping strategies with selected sociodemographic variables (such as age, marital status, religion, educational status, prior occupation, present source of income, present monthly income (in rupees), duration after retire living with, number of children and present life style). Conclusion The investigator observed that the stress and coping strategies of the groups are found to be statistically different. There was statistical significant association with demographic variables of the stress and coping strategies.
Real Robot Challenge Phase 2

In our attempt to solve Phase 2 of the Real Robot Challenge, we reinforcement learn a control policy, in simulation, conditioned on delivering a single chosen dice to a single chosen goal. To further simplify the problem faced by the policy, we provide it with privileged state information from the simulator. Upon transfer to the real robot, an image processing technique is employed to estimate this state information. Ultimately, Phase 2 proves signiﬁcantly more diﬃcult than Phase 1 and our method struggles to solve the task, both in simulation or indeed reality.
Assessment of carbon dioxide effect on agricultural crops productivity by the method of dispersion analysis

This article studies the influence of carbon dioxide in the atmosphere on the yield and quality of grain crops. To make the right estimate the authors have chosen the method of dispersion analysis. The objects of the study are the yield of spring crops in Russia and the yield of spring wheat in the Saratov region. The impact turned out to be statistically significant. It is estimated at 43% for Russia, and 80% for spring wheat (Saratov region). The effect of carbon dioxide on grain quality (protein content) has also been studied. The results were quite uncertain. It was found out that the effect of carbon dioxide on the protein increase in spring wheat was 80% with a small correlation coefficient (0.015). It became obvious that the relationship between the growth of carbon dioxide concentration and grain quality is quite complex and cannot be described by a simple linear relationship, unlike the relationship between CO2 concentration and yield of spring crops. The following important methodological conclusion was made: to make the right conclusion about the effect of carbon dioxide concentration on grain quality using the method of dispersion analysis we need special conditions for the formation of initial samples.
Factors Affecting Business Performance of Small and Medium-Sized Enterprises in Ho Chi Minh City, Viet Nam

Collecting primary data from 150 small and medium sized enterprises in Ho Chi Minh City, using the multivariate regression method, the study found 06 factors affecting business performance of enterprises in the area, including: Enterprise characteristics, owner characteristics , labor, corporate finance, infrastructure, and corporate policy. Based on the research results, the authors propose solutions to improve the business efficiency of small and medium enterprises in Ho Chi Minh City, Viet Nam.
Dynamic RNN:An Effective Approach for User Retention Prediction

User retention prediction is one of the most concerned issues for enterprises. The increase in prediction accuracy can not only improve the user’s personalized product experience, but also reduce the cost of customer acquisition. In this competition, based on the data provided by the organizer iQIYI, the contestants were asked to develop a system that can accurately predict the number of days each user will visit the iQIYI APP in the next 7 days (7-day retention score). This paper describes our team’s (Otaku and ACG Fans) solution to this challenge. We first analyzed the characteristics of the dataset, and constructed appropriate feature engineering accordingly; then developed the Dynamic Sliding Window-Based Recurrent Neural Network(RNN), which combines the advantages of RNN and sliding window method. Not only the prediction performance is excellent, but also the robustness is strong. Finally, Our solution achieved a public score of 86.3181(ranked 2nd) and a private score of 86.3019(ranked 3th) 1 .
Forensics Cases Highlight Human Variability in Product Use

In this article, I present six forensics human factors/ergonomics cases that are typical of many situations in which the defendant had no intent to harm the plaintiff and the plaintiff made a (perhaps foreseeable) mistake. Human factors/ergonomics arguments on both sides delved into the latent hazards associated with the product or system design and operation. In some of the cases, the design decision was made for a reasonable purpose, but the safety trade-off was either not considered or simply ignored. In other cases, the “victim” did not behave as intended but did behave in a foreseeable way.
Cytogenetic and molecular characterization in gonadal tissue of patients with ovotesticular syndrome and gonadal dysgenesis 46,XY and 46,XX

Abstract Objectives: Etiology of gonadal dysgenesis and ovotesticular syndrome is unknown in a majority of cases. To perform cytogenetic and molecular characterization of a group of patients with ovotesticular syndrome and complete gonadal dysgenesis from peripheral blood and gonadal tissue samples. Materials and methods: A total of 6 patients were included, 3 with diagnosis of 46,XX ovotesticular syndrome, one diagnosed with 46,XY ovotesticular syndrome; one with suspected 46,XX gonadal dysgenesis, and one with 46,XY complete gonadal dysgenesis. Results: All patients were evaluated with karyotype, fluorescent in situ hybridization (FISH) for SRY, multiplex ligation-dependent probe amplification (MLPA) and comparative genomic hybridization (aCGH) on peripheral blood samples. In cases with available gonadal tissue, the levels of genetic expression of SOX3, SRY, and SOX9 were determined through real-time PCR and immunofluorescence. Rearrangements involving SRY gene were ruled out. No deletions/duplications or copy-number variations (CNV) were detected as the etiology for sexual development disorder in any of the patients studied. In a case of 46,XX ovotesticular syndrome, the gonadal karyotype was different from the karyotype in peripheral blood. Aberrant expression of SOX3 and SOX9 in gonadal tissue of a case with 46,XX ovotesticular syndrome was observed. Conclusions: Lower levels of expression of SRY and SOX9 compared to the levels in human cellular lines of embryonic testicle and Sertoli were documented in the gonadal tissue of a case with 46,XY ovotesticular syndrome. Cytogenetic and molecular studies of the gonads as a complement to peripheral blood study have the potential to enrich the understanding of sexual development disorders in patients who are XX or XY in peripheral blood.
Dataset Reconstruction Attack against Language Models

With the advances of deep learning techniques in Natural Language Processing, the last few years have witnessed releases of powerful language models such as BERT and GPT-2. However, applying these general-purpose language models to domain-specific applications requires further fine-tuning using domain-specific private data. Since private data is mostly confidential, information that can be extracted by an adversary with access to the models can lead to serious privacy risks. The majority of privacy attacks on language models infer either targeted information or a few instances from the training dataset. However, inferring the whole training dataset has not been explored in depth which poses far greater risks than disclosure of some instances or partial information of the training data. In this work, we propose a novel data reconstruction attack that also infers the informative words present in the private dataset. Experiment results show that an adversary with black-box query access to a fine-tuned language model can infer the informative words with an accuracy of about 75% and can reconstruct nearly 46.67% of the sentences in the private dataset.
Dengue virus infection and virus-specific HLA-A2 restricted immune responses in humanized NOD-scid IL2rgammanull mice

Background: The lack of a suitable animal model to study viral and immunological mechanisms of human dengue disease has been a deterrent to dengue research. Methodology/Principal Findings: We sought to establish an animal model for dengue virus (DENV) infection and immunity using non-obese diabetic/severe combined immunodeficiency interleukin-2 receptor c-chain knockout (NOD-scid IL2rc) mice engrafted with human hematopoietic stem cells. Human CD45 cells in the bone marrow of engrafted mice were susceptible to in vitro infection using low passage clinical and established strains of DENV. Engrafted mice were infected with DENV type 2 by different routes and at multiple time points post infection, we detected DENV antigen and RNA in the sera, bone marrow, spleen and liver of infected engrafted mice. Anti-dengue IgM antibodies directed against the envelope protein of DENV peaked in the sera of mice at 1 week post infection. Human T cells that developed following engraftment of HLA-A2 transgenic NOD-scid IL2rc mice with HLA-A2 human cord blood hematopoietic stem cells, were able to secrete IFN-c, IL-2 and TNF-a in response to stimulation with three previously identified A2 restricted dengue peptides NS4b 2353(111–119), NS4b 2423(181–189), and NS4a 2148(56–64). Conclusions/Significance: This is the first study to demonstrate infection of human cells and functional DENV-specific T cell responses in DENV-infected humanized mice. Overall, these mice should be a valuable tool to study the role of prior immunity on subsequent DENV infections. Citation: Jaiswal S, Pearson T, Friberg H, Shultz LD, Greiner DL, et al. (2009) Dengue Virus Infection and Virus-Specific HLA-A2 Restricted Immune Responses in Humanized NOD-scid IL2rc Mice. PLoS ONE 4(10): e7251. doi:10.1371/journal.pone. 0007251 Editor: Derya Unutmaz, New York University School of Medicine, United States of America Received August 6, 2009; Accepted September 9, 2009; Published October 5, 2009 Copyright: 2009 Jaiswal et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This project was supported by grant A50230 from the WHO, a grant from the Juvenile Diabetes Research Foundation, NIH grant CA34196 and an NIH Diabetes Endocrinology Research Center (DERC) grant DK52530. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: anuja.mathew@umassmed.edu
A Practical Two-stage Ranking Framework for Cross-market Recommendation

Cross-market recommendation aims to recommend products to users in a resource-scarce target market by leveraging user behaviors from similar rich-resource markets, which is crucial for E-commerce companies but receives less research attention. In this paper, we present our detailed solution adopted in the cross-market recommendation contest, i.e., WSDM CUP 2022. To better utilize collaborative signals and similarities between target and source markets, we carefully consider multiple features as well as stacking learning models consisting of deep graph recommendation models (Graph Neural Network, DeepWalk, etc.) and traditional recommendation models (ItemCF, UserCF, Swing, etc.). Furthermore, We adopt tree-based ensembling methods, e.g., LightGBM, which show superior performance in prediction task to generate final results. We conduct comprehensive experiments on the XMRec dataset, verifying the effectiveness of our model. The proposed solution of our team WSDM_Coggle_ is selected as the second place submission.
VALIDATING METACOGNITIVE AWARENESS INVENTORY (MAI) IN CHEMISTRY LEARNING: A RASCH MODELS ANALYSIS

Metacognition is awareness and understanding of students' thought processes on the cognitive aspects of independent learning outcomes. This study aims to validate metacognitive instruments, including eight declarative knowledge indicators, procedural knowledge, conditional knowledge, planning, information management, monitoring, debugging, and evaluation. The validation method uses Rasch modeling (item response theory), namely Map analysis Wright (person-item map), Measure DIFF, Validity (fit statistics for the draft questionnaire), reliability Cronbach alpha (summary statistics). Results map analysis Wright shows the distribution of items and the power of discrimination is categorized as good with the logit value around 1.0. The curve Measure DIFF and the probability value indicate that the item does not have an element of distinguishing gender characteristics if the probability value is above 0.05. The validation of the assessment instrument showed an out value in-fit-of 0.5 MNSQ 1.5, a value in-fit-out of 0.5 ZSTD 1.5, and a value of 0.4 PTMEA 0.85. Furthermore, the reliability of the instrument category is highly reliable, with a value of Cronbach alpha 0.94. Based on the results of the IRT analysis, it was concluded that the MAI instrument in chemistry learning was appropriate to be used to measure the metacognitive abilities of high school students.
A Personalized Hybrid Restaurant Recommender System through Conversations

: Providing accurate information from restaurants to make a decision on where to eat is becoming increasingly difficult as the amount of information and the number of options increases. The system treats the selection of restaurants of interest as an interactive and conversational process, with recommendation systems researching the attributes of restaurants and responding to the user. It was tested on a sample of 100 users.
Making heads or tails of body inversion effects: Do heads matter?

Observers are better at discriminating upright bodies than inverted bodies, and this body inversion effect (BIE) is reliable with whole figures (bodies with heads), but not with bodies presented without heads or the heads occluded suggesting that heads may be key to BIEs. Some studies present whole figures and bodies without heads between groups, and BIEs are not found for bodies without heads [1]. Other studies present whole figures and bodies without heads in the same blocks and BIEs are found with bodies without heads [2]. Does seeing the heads of whole figures induce BIEs in bodies without heads? Here, participants discriminated bodies with either whole figures and bodies without heads presented within blocks, or in separate blocks with bodies without heads presented first. We tested body identity and posture discrimination and measured participants’ gaze. BIEs were found with whole figures and bodies without heads in both identity and posture discrimination, and in both study designs. However, efficiency scores were better for the whole figures than the bodies without heads, but only when whole figures appeared in separate blocks. The magnitude of the BIE was overall stronger for whole figures compared to bodies without heads, but only in identity discrimination. BIE magnitudes were similar in the identity and posture tasks. Participants were better at identity discrimination, yet, there was greater looking at heads and less at bodies. During posture discrimination, greater looking at bodies and less at heads was associated with better performance. Faces might influence BIEs but are not essential. Configural representations of bodies without heads are sufficient for BIEs in posture and identity discrimination.