Miracle-dz/UniFAR-FTUs huggingface dataset:
Queering family history and the lives of Irish men before gay liberation

Historians of sexuality commonly ‘read against the grain’ of the criminal archive as a way to reconstruct both the pitfalls and possibilities of queer cruising cultures. One of the drawbacks of this approach is how it can limit our knowledge of queer men to the fleeting moments of pleasure that led to an arrest, thus obscuring the broader complexities of their social world. The sources that can take us beyond this limited viewpoint – such as diaries, letters and memoirs – tend not to survive for same-sex desiring working-class men who did not live in major metropolises. In this article, I offer a replicable method for uncovering and reconstructing such diffi-cult-to-access lives. By queering the practice of family history, the criminal archive becomes just a starting point that can be enriched through genealogical data, such as censuses, birth/marriage/death registrations, as well as more colourful information from now-digitised newspapers. The resulting ‘small queer histories’, I argue, can contribute to not just a deeper understanding of the sexual past but support important political work in the present too. To demonstrate both this methodology and its contemporary value, I use a case study of one man’s life in Ireland in the time before a Gay Liberation movement. I show how it was kinship networks that provided both the emotional and financial resources that enabled this man to both fight against a charge of ‘gross indecency’ and flourish in the decades after his arrest. This surprising reality of past support is of particular importance in a region where religiously sanctioned homophobia and intolerance were later informed by the supposed antipathy of the family to queer desires.
Mycoplasma infection aggravates cardiac involvements in Kawasaki diseases: a retrospective study

Background Mycoplasma pneumoniae (MP) infection serves as a substantial cofactor in Kawasaki disease (KD) among patients. Although the dominant issue triggering KD has recently focused on MP infection, the complete demonstration of the relationship between MP infection and KD remains elusive. This study endeavors to scrutinize and compare the clinical manifestations and cardiac involvement between MP-triggered KD and non-infection–associated KD. Method This retrospective study (2023-039, approved by the Institutional Review Board of West China Second University Hospital of Sichuan University) encompassed 247 consecutive patients diagnosed with KD between June 2017 and December 2022. Patients were categorized into two groups: the MP group (n = 38) and the non-MP group (n = 209). Univariable analysis was utilized to discern differences in clinical features, severity of inflammation, and initial or persistent cardiac complications between the two groups. Results The MP group exhibited a more intricate clinical profile compared with the non-MP group, characterized by prolonged hospital stays, a higher incidence of incomplete KD, and elevated comorbidities. In addition, MP infection correlated with severe hematological disorders, coagulation dysfunction, and myocardial injuries. Our findings revealed that MP infection led to prolonged inflammation after initial treatment with intravenous immunoglobulin. Although initial cardiac assessments failed to discern disparities between the two groups, MP infection notably exacerbated coronary artery aneurysms (CAAs), resulting in sustained dilation. Conclusions Recognizing MP infection as a significant infectious factor associated with KD is imperative. In patients with KD, MP infection significantly prolongs inflammation and causes hematological disturbances during the initial treatment phase. Moreover, the presence of MP infection exacerbates the progression of CAAs and myocardial injuries during the subacute phase of KD, consequently contributing to the persistence of CAAs.
Scrutinizing Students’ Perspectives on Digital Storytelling as an Educational Tool in Learning English

English Teachers encounter difficulties when trying to pique students' interest in learning English. Technological innovations can enhance English courses through digital storytelling, which can support English lessons because it can strengthen students' commitment to learning and foster a better learning atmosphere. Therefore, this study aims to explore students' views of the attitudes and barriers when leveraging digital storytelling in learning English. This research utilized qualitative methods with questionnaire and interview research instruments to fill the methodological gap because there was a lot of research on digital storytelling conducted using quantitative methods. There were forty eighth-grade students at a private junior high school in Malang who had filled out the questionnaire, and three of them were interviewed. The research results showed that when leveraging digital storytelling to learn English, they have a favorable perspective concerning it, such as assisting them in focusing on the lesson material, keeping them entertained, aiding them in visualizing the lesson material, deepening their understanding of the lesson material, engaging them in learning, helping them communicate in English, providing them a sense of security to take part in class, and creating a stimulating learning environment. On the other hand, some students displayed uncertainty in terms of self-confidence and self-motivation when learning English leveraging digital storytelling although some students also demonstrated an increase in these traits. In addition, by leveraging digital storytelling, they found it simpler to recall the information given and felt more at ease expressing their language proficiency in the form of listening, speaking, reading, and writing. However, they ran into barriers while leveraging digital storytelling in English classrooms, including technological issues and trouble understanding unfamiliar vocabulary. The study’s implications have been mentioned here.
LF-Transformer: Latent Factorizer Transformer for Tabular Learning

The field of deep learning for tabular datasets has made significant strides in recent times. Previously, gradient boosting and decision tree algorithms had been the go-to options for processing such datasets due to their superior performance. However, deep learning has now reached a level of development where it can compete with these algorithms on equal footing. Accordingly, we propose latent factorizer transformer (LF-Transformer). Our proposing method, LF-Transformer, involves applying the transformer architecture to columns and rows of a given dataset to identify the attention latent factor matrix. This matrix is then used for prediction. The process is akin to matrix factorization, which involves breaking down the original matrix into a latent matrix and then reconstructing it again. Our experimental results indicate that the LF-Transformer approach outperforms general feature embedding methods, providing superior feature presentation. Additionally, the approach has demonstrated a relative superiority in regression and classification across various datasets that we have tested. In conclusion, the LF-Transformer presents a promising direction for deep learning approaches in tabular datasets. Its ability to identify latent factors and provide superior performance in regression and classification makes it a compelling alternative to traditional algorithms.
Nouvelles données sur les Dinosaures du Crétacé supérieur du Portugal

La faune variee de petits Dinosaures recoltee dans les niveaux maestrichtiens du Portugal contient deux ensembles de dents particulierement interessants, l'un representant un Ornithischien, Taveirosaurus costai n. gen. n. sp. , l'autre un Theropode, Euronychodon portucalensis n. gen. n. sp. Une breve discussion sur l'extinction des Dinosaures dans la partie la plus occidentale de l'Europe est presentee en conclusion
Contribution of the TIME in BCP-ALL: the basis for novel approaches therapeutics

The bone marrow (BM) niche is a microenvironment where both immune and non-immune cells functionally interact with hematopoietic stem cells (HSC) and more differentiated progenitors, contributing to the regulation of hematopoiesis. It is regulated by various signaling molecules such as cytokines, chemokines, and adhesion molecules in its microenvironment. However, despite the strict regulation of BM signals to maintain their steady state, accumulating evidence in B-cell precursor acute lymphoblastic leukemia (BCP-ALL) indicates that leukemic cells can disrupt the physiological hematopoietic niche in the BM, creating a new leukemia-supportive microenvironment. This environment favors immunological evasion mechanisms and the interaction of these cells with the development and progression of BCP-ALL. With a growing understanding of the tumor immune microenvironment (TIME) in the development and progression of BCP-ALL, current strategies focused on “re-editing” TIME to promote antitumor immunity have been developed. In this review, we summarize how TIME cells are disrupted by the presence of leukemic cells, evading immunosurveillance mechanisms in the BCP-ALL model. We also explore the crosstalk between TIME and leukemic cells that leads to treatment resistance, along with the most promising immuno-therapy strategies. Understanding and further research into the role of the BM microenvironment in leukemia progression and relapse are crucial for developing more effective treatments and reducing patient mortality.
Moxidectin is a candidate for use as an in vivo internal standard in pharmacokinetic studies, as demonstrated with use in simultaneous tissue cage and ultrafiltration fluid collection

In vivo ultrafiltration has been used in veterinary pharmacokinetics since the early 2000’s as an improvement on the tissue cage model which enables sampling of fluids from extra-circulatory compartments. Variability in analyte recovery from ultrafiltration samples, due to membrane fouling or tissue inflammation, has been a concern for this technique. Internal standards may be used to scale or verify the unknown result, such as is common in analytical extractions and in vivo microdialysis. Eight merino sheep were implanted with subcutaneous tissue cages and 2 weeks prior to the initiation of the study the sheep were injected with 0.2 mg/kg moxidectin subcutaneously. On the day of the study ultrafiltration probes were inserted subcutaneously. At time zero 4 mg/kg of carprofen was injected intravenously. Plasma, tissue cage, and ultrafiltration samples were taken 30 min before and 0.5, 1, 2, 3, 4, 5, 7, 24, 36, 48, 72 h after dosing. Carprofen and moxidectin concentrations were measured by LC–MS/MS. Pharmacokinetic parameters were estimated using Monolix for both the carprofen concentrations and the moxidectin corrected carprofen concentrations. The ultrafiltration probes failed to consistently produce enough sample volume to analyse. Moxidectin concentrations in the plasma and tissue cage fluid were stable throughout the 72 h sampling window. Moxidectin proved to be suitable as an in vivo internal standard for pharmacokinetic research using, tissue cages, plasma sampling and ultrafiltration probes, but the application of ultrafiltration techniques requires refinement.
Birds of lower Garhwal Himalayas: Dehra Dun valley and neighbouring hills

Observations are presented on the birds of the Dehra Dun valley and neighbouring hills (between 77°35' and 78°15'E and between 30°04' and 30°45'N) from June 1982 to February 2000. A total of 377 species were sighted. These included 16 new records for the area, and 11 globally Near-threatened and 3 Vulnerable species. Resident species (306) were most prevalent in the area, and the majority of species preferred moist deciduous habitat (199). Specific threats to the habitats in the area are discussed. A complete annotated species list of the 514 species recorded in the Dehra Dun District (including northern areas between 30°45' and 31°N), and including species recorded by other authors in the area, is also given.
Heart rate prediction with contactless active assisted living technology: a smart home approach for older adults

Background As global demographics shift toward an aging population, monitoring their heart rate becomes essential, a key physiological metric for cardiovascular health. Traditional methods of heart rate monitoring are often invasive, while recent advancements in Active Assisted Living provide non-invasive alternatives. This study aims to evaluate a novel heart rate prediction method that utilizes contactless smart home technology coupled with machine learning techniques for older adults. Methods The study was conducted in a residential environment equipped with various contactless smart home sensors. We recruited 40 participants, each of whom was instructed to perform 23 types of predefined daily living activities across five phases. Concurrently, heart rate data were collected through Empatica E4 wristband as the benchmark. Analysis of data involved five prominent machine learning models: Support Vector Regression, K-nearest neighbor, Random Forest, Decision Tree, and Multilayer Perceptron. Results All machine learning models achieved commendable prediction performance, with an average Mean Absolute Error of 7.329. Particularly, Random Forest model outperformed the other models, achieving a Mean Absolute Error of 6.023 and a Scatter Index value of 9.72%. The Random Forest model also showed robust capabilities in capturing the relationship between individuals' daily living activities and their corresponding heart rate responses, with the highest R2 value of 0.782 observed during morning exercise activities. Environmental factors contribute the most to model prediction performance. Conclusions The utilization of the proposed non-intrusive approach enabled an innovative method to observe heart rate fluctuations during different activities. The findings of this research have significant implications for public health. By predicting heart rate based on contactless smart home technologies for individuals' daily living activities, healthcare providers and public health agencies can gain a comprehensive understanding of an individual's cardiovascular health profile. This valuable information can inform the implementation of personalized interventions, preventive measures, and lifestyle modifications to mitigate the risk of cardiovascular diseases and improve overall health outcomes.
INVESTIGATING THE ESSAY WRITING CHALLENGES EXPERIENCED BY STUDENTS AT BINA SARANA INFORMATIKA UNIVERSITY

The study of writing has become an essential contributor to language learning research. Over the years, the existence of writing has led students to gain competence in learning a language. Throughout the process, students might have problems and experience errors that hinder them from producing the written product, especially an essay. Therefore, this study aims to critically identify and evaluate the students’ problems in writing essays, especially at Bina Sarana Informatika University. The research was conducted using a close-ended questionnaire with 37 questions regarding essay writing problems. Four significant problems: plagiarism, grammatical errors, lexical difficulties, and lack of planning became the focus of this study. Moreover, a lack of confidence also becames one of the problems in writing an essay. The finding of this research was that students agreed that lexical difficulties become the most common problem while writing an essay, with an average of 2,92. Interestingly, with an average of 2,3, the least common problem wass a grammatical error. By seeing the results from 21 respondents, it wass evident that the main thing that hinders students’ performance in writing an essay wass the difficulty in using the appropriate words and dictions based on context
Mass–Balance and Ice–Flow–Law Parameters for East Antarctica

Abstract A comprehensive set of ice-velocity and thickness data from traverses within the IAGP study area (bounded by long. 90°E. and 135°E., and north of lat. 80°S.) is compared with steady-state mass-flux calculations based on Scott Polar Research Institute (SPRI) map compilations. The results of previous regional mass-budget estimates are reviewed and followed by a description of the new field measurements and the basis upon which a computer “grid–point” program is used to calculate balance fluxes. A comparison of measured and balance fluxes indicates that the ice sheet in this region of East Antarctica is unlikely to be significantly out of balance. The ratio of average column to surface velocity is discussed and calculated to be 0.89. An analysis of the mean shear strain-rate (V S/Z), versus down-slope basal shear stress (τ b = ρgᾱZ), suggests that power flow-law parameters of n = 3.21 and k = 0.023 bar−n m−1 are appropriate for the effective basal shear zone in this region of the Antarctic ice sheet.
Submicrometer aerosols and excess CO as tracers for biomass burning air mass transport over southern Africa

This paper links surface measurements of biomass burning aerosols and trace gases with trajectory analysis to determine transport pathways for air masses with high and low concentrations. We interpret the long‐term atmospheric monitoring record from a remote monitoring station in central southern Africa (North West Province, South Africa). Trace gas analyzers and a Differential Mobility Particle Sizer were used to measure ground level trace gas and submicron aerosol concentrations. Fire signatures were identified based on excess CO above average tropospheric levels, and episodes of enhanced particulate matter concentrations in the 10 to 840 nm size range. Thirty‐six biomass burning plumes were reported; 7 had strong signals of excess CO, with ratios between 0.41 and 0.64, while 29 had weak signals ranging between 0.07 and 0.32. Pathways identified for the long‐range transport of biomass burning aerosols were as follows: easterly (39% frequency), southwesterly (31%), recirculation (22%), and northerly (8%) flow patterns. CO and Aitken‐mode aerosol number strengths were larger for fire emissions arriving in the easterly and southwesterly air masses than for recirculation and northerly air masses. Easterly and southwesterly flows were dominated by Aitken‐mode aerosol, whereas accumulation‐mode particles dominated in the recirculation and northerly flows. Findings identify biomass burning as a major source of Aitken‐mode aerosols. Enhanced CO concentrations, combined with Aitken‐ and accumulation‐mode particle number size distributions, are shown to provide a useful signature of plumes originating over regional biomass combustion events.
FASTA: Revisiting Fully Associative Memories in Computer Microarchitecture

Associative access is widely used in fundamental microarchitectural components, such as caches and TLBs. However, associative (or content addressable) memories (CAMs) have been traditionally considered too large, too energy-hungry, and not scalable, and therefore, have limited use in modern computer microarchitecture. This work revisits these presumptions and proposes an energy-efficient fully-associative tag array (FASTA) architecture, based on a novel complementary CAM (CCAM) bitcell. CCAM offers a full CMOS solution for CAM, removing the need for time- and energy-consuming precharge and combining the speed of NOR CAM and low energy consumption of NAND CAM. While providing better performance and energy consumption, CCAM features a larger area compared to state-of-the-art CAM designs. We further show how FASTA can be used to construct a novel aliasing-free, energy-efficient, Very-Many-Way Associative (VMWA) cache. Circuit-level simulations using 16 nm FinFET technology show that a 128 kB FASTA-based 256-way 8-set associative cache is 28% faster and consumes 88% less energy-per-access than a same sized 8-way (256-set) SRAM based cache, while also providing aliasing-free operation. System-level evaluation performed on the Sniper simulator shows that the VMWA cache exhibits lower Misses Per Kilo Instructions (MPKI) for the majority of benchmarks. Specifically, the 256-way associative cache achieves 17.3%, 11.5%, and 1.2% lower average MPKI for L1, L2, and L3 caches, respectively, compared to a 16-way associative cache. The average IPC improvement for L1, L2, and L3 caches are 1.6%, 1.4%, and 0.2%, respectively.
Real-World Safety of TwinRab, the World’s First Novel Cocktail of Rabies Monoclonal Antibodies, in a Clinical Setting

Objectives: Every year, 18,000-20,000 people die from rabies in India, with children younger than the age of 15 accounting for 30%-60% of all cases. Wound cleaning, vaccination, and rabies immunoglobulin (RIG) administration are all part of treatment. TwinRabTM, a unique combination of two monoclonal antibodies (mAbs), docaravimab and miromavimab, effectively neutralizes rabies and rabies-like viruses. We conducted this study to evaluate the safety of the cocktail in patients infected with category-III animal bites according to WHO guidelines. Methods: This open-label observational study was conducted in patients with WHO category-III animal bites by suspected rabid animals. All participants were screened, enrolled, and were administered the TwinRabTM manufactured by Zydus Lifesciences Ltd. at the rate of 40 IU/kg by infiltration in and around the wound along with anti-rabies vaccine (ARVs). Participants were assessed at various intervals, and any adverse events (AEs) were documented and reported to the sponsor within 24 hours. Result: The study enrolled 401 participants, 55.61% (n = 223) male, whose median age was 34 years. Adults made up 69.83% (n = 280) of the participants. The most exposed sites were the lower parts of the body (60.6%, n = 243); 99.75% (n = 400) of the population showed normal cardiovascular, gastrointestinal, and central nervous systems. After seven days of the last postexposure prophylaxis (PEP) dose, 9.98% of the total study population experienced 80 mild local solicited AEs and were assessed and treated. Conclusion: The study concluded that TwinRabTM when given in a 40 IU/kg dose with Essen or the updated Thai Red Cross Vaccine regimen, provides safe and effective rabies prophylaxis in WHO category III patients exposed to suspected rabied animal bites.
Study on the Isotope Geochemistry of the Maoping Pb-Zn Deposit,Zhaotong,Yunnan

The Maoping lead-zinc deposit is a typical medium-large sized deposit in the Northeast Yunnan Pb-Zn mineralization belt.Based on analyzing geological characteristics of the deposit,this paper mainly studied the composition characteristics and geochemical nature of sulfur,lead,carbon,hydrogen and oxygen isotopic,then probed into the property and source of ore-forming fluids and how the deposit formed.