Miracle-dz/UniFAR-FTUs huggingface dataset:
Triple Negative Breast Cancer Patients Treated with Radiation Therapy: Improvement in Survival and Local Control With Adjuvant Chemotherapy Compared To Neoadjuvant Chemotherapy – A Hypothesis Generating Report

Background Triple negative breast cancer (TNBC) (estrogen receptor (ER) – negative, progesterone receptor (PR) - negative, and human epidermal growth factor receptor 2 (HER2) -negative) is an aggressive subtype of breast cancer that is more common in younger women, carries a poorer prognosis and has a greater metastatic potential than receptor positive subtypes. Radiation therapy’s ability to improve outcomes, especially the overall survival is controversial, more so among African American patients. The objective of this study is to evaluate local control and survival rates of TNBC patients treated with radiotherapy (RT) in our institution with a sizeable cohort of African American women. Methods This is a retrospective analysis of 67 TNBCs (2007–2017) at an academic state institution who underwent a lumpectomy and /or mastectomy (surgery) followed by adjuvant irradiation to a median total dose of 50 Gy (range 40.5–50.40 Gy). Chemotherapy was administered in a neoadjuvant (32) or adjuvant setting (35). For all 67 TNBCs, local control (LC), overall survival (OS), and disease-free survival (DFS) were estimated using the Kaplan-Meier method. The significance of survival variables was analyzed using the Cox univariate and multivariate proportional hazards model. A p-value of less than 0.05 was considered statistically significant. The SPSS 24.0 software was used for data analysis. Results The baseline characteristics of all 67 TNBCs were measured with median follow up of 58 months (range 10–142 months). Patients were stratified into two groups (neoadjuvant chemotherapy-RT (32) vs. adjuvant chemotherapy-RT (35)). The five-year rates for LC, DFS and OS were 14.8 % vs. 47.9 % (p = 0.002), 24.2% vs. 53.1 % (p = 0.015), and 65.1% vs. 92.2% (0.002) respectively. On Cox multivariate analysis, patients who received adjuvant chemotherapy were associated with statistically improved significant LC (p = 0.002) and OS (p = 0.002). The variables included were: BMI (p = 0.050), distance travelled (p = 0.027), 8th AJCC TNM staging (p = 0.018) and tumor grade (p = 0.022). Conclusion In this hypothesis-generating report, among TNBC patients undergoing RT, adjuvant chemotherapy appears to be better than neoadjuvant chemotherapy in determining the clinical outcomes.
Investigation of Skill Sets for Multiskilled Labor Development in Construction

The major objective of this research is to investigate construction job market for developing multiskilled labor in the construction industry using web scraping and text mining techniques. The construction industry has been suffered from the skilled labor shortage. To resolve the shortage and pertinent problems, multiskilled labor utilization strategies have been presented in construction. Although extensive research has been conducted over multiskilling strategies, it is still uncertain what skill sets are desirable to foster and utilize multiskilled labor efficiently in construction projects. To fill the gap, this research investigates skill sets for multiskilled labor development in construction using web scraping technique. We analyze texts of companies' job openings and provide the latest trends in what skill sets are beneficial for workers to get employed. The results provide skilled labor with the information of what kind of skill sets required to meet industrial needs. This research will contribute to the body of knowledge by expanding the multiskilling strategies through the data-driven analysis of real construction job market.
Acceptability, Engagement, and Effects of a Mobile Digital Intervention to Support Mental Health for Young Adults Transitioning to College: Pilot Randomized Controlled Trial

Background The transition from high school to college can exacerbate mental health problems in young adults yet barriers prevent seamless mental health care. Existing digital support tools show promise but are not yet designed to optimize engagement or implementation. Objective The goal of the research was to test acceptability and effects of an automated digital Mobile Support Tool for Mental Health (MoST-MH) for young adults transitioning to college. Methods Youths aged 18 years and older with a current mental health diagnosis preparing to transition to college (n=52; 85% female [45/52], 91% White [48/52]) were recruited from a primary care (n=31) and a mental health clinic (n=21). Participants were randomized 2:1 to either receive MoST-MH (n=34) or enhanced Usual Care (eUC; n=18). MoST-MH included periodic text message and web-based check-ins of emotional health, stressors, negative impacts, and self-efficacy that informed tailored self-care support messages. Both eUC and MoST-MH participants received links to a library of psychoeducational videos and were asked to complete web-based versions of the Mental Health Self-Efficacy Scale (MHSES), College Counseling Center Assessment of Psychological Symptoms (CCAPS), and Client Service Receipt Inventory for Mental Health (C-SRI) monthly for 3 months and the Post-Study System Usability Scale (PSSUQ) at 3-months. Results MoST-MH participants were sent a median of 5 (range 3 to 10) text message check-in prompts over the 3-month study period and 100% were completed; participants were sent a median of 2 (range 1 to 8) web-based check-in prompts among which 78% (43/55) were completed. PSSUQ scores indicate high usability (mean score 2.0). Results from the completer analysis demonstrated reductions in mental health symptoms over time and significant between-group effects of MoST-MH compared to eUC on depressive symptom severity (d=0.36, 95% CI 0.08 to 0.64). No significant differences in mental health self-efficacy or mental health health care use were observed. Conclusions In this pilot trial, we found preliminary evidence that MoST-MH was engaged with at high rates and found to be highly usable and reduced depression symptoms relative to eUC among youth with mental health disorders transitioning to college. Findings were measured during the COVID-19 pandemic, and the study was not powered to detect differences in outcomes between groups; therefore, further testing is needed. Trial Registration ClinicalTrials.gov NCT04560075; https://clinicaltrials.gov/ct2/show/NCT04560075
Method to Generate Building Damage Maps by Combining Aerial Image Processing and Crowdsourcing

Building damage maps that show the damage status of buildings are an essential information source for various disaster countermeasures, such as evacuation, rescue, and reconstruction. Therefore, they must be generated as quickly as possible. However, to generate a building damage map, it is necessary to collect disaster information and estimate the damage situation over a wide area, which is time consuming. (In this paper, we consider disaster information collection as capturing aerial images.) In recent years, crowdsourcing has been widely used to understand the damage situation. Crowdsourcing achieves large-scale work by dividing it into microtasks that can be solved by anyone and by distributing the microtasks among an unspecified number of workers. We believe that crowdsourcing is suitable for gathering information and assessing damage situations as it can adjust the type and number of workers in a scalable manner and allocate resources according to the size of the disaster. Therefore, crowdsourcing has been used for gathering information and assessing the situation during disaster management. However, usually, the two types of crowdsourcing tasks (i.e., gathering information and assessing the damage) are performed independently; consequently, the collected information is often not utilized effectively. More efficient work can be expected by linking the two crowdsourcing tasks. This paper proposes a framework for efficiently generating a building damage map by combining the two methods of information collection on disaster areas and assessment of disaster situations using aerial image processing. The results of an experiment using a prototype of our proposed framework clarify the range of applications in the collection and assessment crowdsourcing tasks. The experimental results indicate the feasibility of understanding disaster situations using our method. In addition, it is possible to install artificial intelligence workers that can support human workers to estimate the damage situation more quickly.
Potential ligand-receptor-pathway cascades and a novel non-metabolic function of lactate in remodeling uterine receptivity by inducing endometrial histone lactylation at implantation, revealed by a proteomic atlas of maternal-fetal crosstalk

Well-orchestrated maternal-fetal crosstalk involves secreted ligands, interacting receptors, and coupled pathways between the conceptus and endometrium. However, previous researches mainly focused on either the conceptus or endometrium in isolation. The lack of integrated analysis, especially on protein levels, has made it challenging to advance our understanding of the crosstalk. Herein, focusing on ligand–receptor complexes and coupled pathways at maternal-fetal interface in sheep, a well-established embryo implantation model, we provide the first comprehensive proteomic atlas of ligand-receptor-pathway cascades that may be essential for implantation. Based on these candidate interactions, we further revealed the physical interaction of albumin-claudin 4 and their role in facilitating embryo attachment to endometrium. More interestingly, we demonstrated a novel non-metabolic function of enhanced conceptus glycolysis in remodeling uterine receptivity, by inducing endometrial histone lactylation, a newly identified histone modification. Our results from in vitro and in vivo models supported the essential role of lactate, as a key embryonic signal, in regulating redox homeostasis and apoptotic balance to ensure successful implantation. Our study identified many putative molecular and cellular mechanisms that fine-tuned conceptus-endometrium crosstalk during implantation, thus providing important clues for developing potential clinical intervention strategies to improve pregnancy outcomes following both natural conception and assisted reproduction.
PENGARUH UKURAN PERUSAHAAN, PERGANTIAN MANAJEMEN, DAN REPUTASI AUDITOR TERHADAP AUDITOR SWITCHING

Auditor berperan penting dalam menilai kewajaran penyajian laporan keuangan. Dalam menjalankan tugasnya, auditor dihadapkan pada tekanan untuk mempertahankan sikap independen. Manajemen dapat memutuskan untuk mengganti auditor jika terjadi ketidaksepakatan tentang pelaporan keuangan. Penelitian ini bertujuan menemukan faktor-faktor yang memengaruhi auditor switching pada perusahaan manufaktur di Bursa Efek Indonesia tahun 2014 sampai dengan tahun 2018. Jenis penelitian adalah penelitian asosiatif. Seleksi sampel menggunakan purposive sampling sehingga diperoleh 127 perusahaan. Analisis data menggunakan regresi logistik. Hasil pengujian menemukan ukuran perusahaan berpengaruh positif terhadap auditor switching, pergantian manajemen tidak berpengaruh terhadap auditor switching, sedangkan reputasi auditor berpengaruh positif terhadap auditor switching,
Loyal customers’ tipping points of spending for services: a reciprocity perspective

Purpose Controversy exists about the shape of the relationship between loyalty and profitability. This paper aims to address the possibly nonlinear effects of behavioral loyalty (BLOY) on customer spending (as a proxy for profitability). Building on social exchange theory and the norm of reciprocity, it examines the asymmetries between BLOY and customer spending and the moderating influence of personal communication (PCOMM) as a social reward and dispositional positive reciprocity as process evidence. Design/methodology/approach Study 1a (n = 309) gathered customer data from four restaurants and Study 1b (n = 252) data from hotel guests after they checked out. Study 2 is an experimental study with two manipulated factors (BLOY and PCOMM). In total, 295 participants from a large German online panel completed the study. Findings The results indicate an inverted-U shaped relationship between BLOY and customer spending: after reaching a turning point, customers gradually curb spending as their BLOY further increases. High PCOMM acts as a reciprocal response while triggering additional customer spending particularly at higher levels of behavioral loyalty; positive reciprocity adjusts the differences in customer spending when social rewards such as PCOMM are present. Research limitations/implications The asymmetric relationship between BLOY and customer spending is tested only for hedonic service settings. Practical implications Not all loyal customers spend more – companies need to meet their reciprocal obligations before they can benefit from increased customer spending. Originality/value The present research re-considers the nature of the relationship between BLOY and customer spending and reveals an inverted-U shaped relationship, with a turning point beyond which greater customer loyalty decreases customer spending. It finds converging process evidence for the mechanism of reciprocity underlying this relationship. This study also details the financial impact of BLOY on the firm by investigating actual customer spending.
Knowledge dissemination among early childhood staff members: a promising pathway for professional learning

ABSTRACT This study uses data from semi-structured interviews conducted with 44 early childhood education (ECE) staff and examines how knowledge dissemination processes operate in ECE centers, including how information from off-site trainings is diffused among staff. Our sample includes administrators, lead teachers, and assistant teachers serving children aged zero to five in a large ethnically-diverse urban district. We find that staff reported exchanging information through formal channels (e.g., scheduled staff meetings) and informal channels (e.g., extemporaneous meetings, advice-seeking interactions); our findings suggest that informal channels may be especially prevalent and consequential to ECE staff’s professional learning. ECE professionals explained that they sought certain colleagues for information/advice primarily based on the colleague’s expertise but also because of a colleague’s job title and their familiarity with that colleague. Lastly, we find that nearly half of staff reported sharing information they received from off-site professional development with colleagues at their ECE center.
TO SUPPORT IOT COLLABORATIVE EXPRESSIVENESS ON THE SHOP FLOOR

Abstract The availability of new research for IoT support and the human-centric perspective of industry 4.0 opens a gap to support operators in unleashing their creativity so they can provide improvements opportunities with IoT technology. This paper presents a case-study carried out in four Swedish manufacturing companies, where four different workshops were facilitated to support operators in the conceptualization of manufacturing improvements with IoT technologies. The empirical material gathered during these workshops has been analyzed in five different reflective sessions and discussed in light of previous research from industry 4.0, operators, and IoT support. Results indicate that operators can collaboratively create conceptual IoT solutions and that expressiveness in communicating their ideas and needs using IoT technology is more relevant than technical aspects and details of their proposed IoT solutions. This technological expressiveness is identified as a necessary skill to be cultivated on the shop floor and can potentially contribute to making a more effective and socially sustainable industrial landscape in the future.
Purposeful Heading Performed by Female Youth Soccer Players Leads to Strain Development in Deep Brain Structures

Head impacts in soccer have been associated with both short- and long-term neurological consequences. Youth players' brains are especially vulnerable given that their brains are still developing, and females are at an increased risk of traumatic brain injury (TBI) compared to males. Approximately 90% of head impacts in soccer occur from purposeful heading. Accordingly, this study assessed the relationship between kinematic variables and brain strain during purposeful headers in female youth soccer players. A convenience sample of 36 youth female soccer players (13.4 [0.9] years of age) from three elite youth soccer teams wore wireless sensors to quantify head impact magnitudes during games. Purposeful heading events were categorized by game scenario (e.g., throw-in, goal kick) for 60 regular season games (20 games per team). A total of 434 purposeful headers were identified. Finite element model simulations were performed to calculate average peak maximum principal strain (APMPS) in the corpus callosum, thalamus, and brainstem on a subset of 110 representative head impacts. Rotational velocity was strongly associated with APMPS in these three regions of the brain (r = 0.83–0.87). Linear acceleration was weakly associated with APMPS (r = 0.13–0.31). Game scenario did not predict APMPS during soccer games (p > 0.05). Results demonstrated considerable APMPS in the corpus callosum (mean = 0.102) and thalamus (mean = 0.083). In addition, the results support the notion that rotational velocity is a better predictor of brain strain than linear acceleration and may be a potential indicator of changes to the brain.
Comparative analysis of the kernel types in generalized autocalibrating partially parallel acquisition algorithms for accelerated three‐dimensional magnetic resonance spectroscopic imaging data

This study was conducted to comparatively analyze the performance of generalized autocalibrating partially parallel acquisition (GRAPPA) algorithms according to the kernel types, which has not yet been reported. A GRAPPA algorithm using one 3D kernel or other kernels was used to reconstruct the undersampled 3D MRSI data along three or two PE directions. To quantitatively assess the quality of the reconstruction, the normalized root–mean–squared errors (nRMSEs) were calculated in simulated, phantom, and in vivo data. The nRMSE of the GRAPPA algorithm using one 3D kernel in reconstructing undersampled 3D MRSI data along three PE directions was the lowest. The spectra and maps from the reconstructed data using one 3D kernel were the closest to those from the fully sampled data. We recommend acquiring 3D MRSI data accelerated along three PE directions to reduce scan time and indispensably applying the GRAPPA algorithm using one 3Dkernel to improve reconstruction performance.
Two-Stage Fine-Grained Text-Level Sentiment Analysis Based on Syntactic Rule Matching and Deep Semantic

SUMMARY Aiming at the problem that traditional text-level sentiment analysis methods usually ignore the emotional tendency corresponding to the object or attribute. In this paper, a novel two-stage ﬁne-grained text-level sentiment analysis model based on syntactic rule matching and deep semantics is proposed. Based on analyzing the characteristics and di ﬃ cul-ties of ﬁne-grained sentiment analysis, a two-stage ﬁne-grained sentiment analysis algorithm framework is constructed. In the ﬁrst stage, the objects and its corresponding opinions are extracted based on syntactic rules matching to obtain preliminary objects and opinions. The second stage based on deep semantic network to extract more accurate objects and opinions. Aiming at the problem that the extraction result contains multiple objects and opinions to be matched, an object-opinion matching algorithm based on the minimum lexical separation distance is proposed to achieve accurate pairwise matching. Finally, the proposed algorithm is evaluated on several public datasets to demonstrate its practicality and e ﬀ ectiveness.
THE AGE OF DESIGN - HOW USERS PERCEIVE THE CHRONOLOGICAL ORDER WITHIN AUTOMOBILE GENERATIONS

Abstract The vehicle exterior design conveys a variety of visual information. Among these are the brand identity, assumed characteristics, and the vehicle's age or newness. While previous research focusses mainly on the first two attributes, we broaden the perspective by examining the age perception for vehicle model portfolios across brands. Information of age is embedded not only in branding but also in the entirety of a vehicle's exterior design features. Therefore, this paper examines how participants of a self-reported study perceive individual models inside successive product portfolios without typical branding. The stimulus patterns were derived from 12 different series of BMW, Mercedes-Benz and Audi and edited accordingly. A total of 67 models from the years 1968 to 2019 were presented and evaluated in terms of perceived age, model and brand recognition. The results show that most vehicles are perceived as newer than their actual age, successive model generations are clearly distinguishable and participants were able to sort all models in their correct chronological order. Finally, design-related age perception and knowledge-based age perception are introduced as possible underlying concepts of the visual perception of product age.
Faktor Sosiodemografi dan Riwayat Klinis Malaria Terhadap Insidensi Malaria di Manokwari

Malaria is an endemic disease in Manokwari. Malaria transmission was influenced by sociodemographic and geographic factor. However, clinical manifestation of malaria in endemic area was various from asymptomatic, mild to heavy manifestation. The aim of this study was to identify the incidence, sociodemographic, geographic factors, and clinical manifestation of Plasmodium infection in Manokwari. This was a cross sectional study, in August 2019 in two endemic villages, that is Amban and Wosi village, Manokwari district, West Papua. The number of subject involved in this study was 100. 55 subjects came from Amban and 45 from Wosi village. The sociodemographic characteristics of subject such as age, gender, address, education and occupation were recorded. Blood smear examination and Giemsa staining were performed to identify Plasmodium sp on each subject. Results of this study showed that 3% of population were infected by Plasmodium sp. Plasmodium sp. infection. more experienced by men, higher education level and have a job. The demographic and geographic factors were not related with Plasmodium sp. infection (p > 0.05). All of the subjects who infected with Plasmodium sp. show manifestation such as fever, chills, sweating, nausea/vomitus, and diarrhea. The conclusion of this study is highlighted that socio-demographic and geographical factors are not associated with Plasmodium sp. infection, and Plasmodium infection is characterized by clinical symptoms.
THE PRODUCTIVE CHARACTERISTICS OF HYBRID PIGLETS AT GROWING WHEN USING BETAINE

The results of studies of the productive characteristics of hybrid piglets at growing with the addition of different amount of the feed additive betaine into the diet are given. During the equalizing period the productive characteristics of animals in research groups were close to the animals in the control group, their average daily gains range of 248-250 g and the absolute gain is from 71.6 to 72.3 kg. However, the introduction of betaine into the diet in the amount of 1 kg per 1 ton of feed increased the consumption of feed by 4.18% in the third research group of animals. It is established that when using the feed additive betaine in the pigs’diet, the highest characteristics of growth were observed in the third research group of animals, where the average daily gain was 743 g and the absolute one - 378.8 kg. Throughout the period of research the piglets’ survival was 100%. The optimal amount of betaine for feeding piglets at growing is established. It is 1 kg per 1 ton of feed.