Miracle-dz/UniFAR-FTUs huggingface dataset:
The prediction of new Covid-19 cases in Poland with machine learning models

The COVID-19 pandemic has had a huge impact both on the global economy and on everyday life in all countries all over the world. In this paper, we propose several possible machine learning approaches to forecasting new confirmed COVID-19 cases, including the LASSO regression, Gradient Boosted (GB) regression trees, Support Vector Regression (SVR), and Long-Short Term Memory (LSTM) neural network. The above methods are applied in two variants: to the data prepared for the whole Poland and to the data prepared separately for each of the 16 voivodeships (NUTS 2 regions). The learning of all the models has been performed in two variants: with the 5-fold time-series cross-validation as well as with the split into the single train and test subsets. The computations in the study used official statistics from government reports from the period of April 2020 to March 2022. We propose a setup of 16 scenarios of the model selection to detect the model characterized by the best ex-post prediction accuracy. The scenarios differ from each other by the following features: the machine learning model, the method for the hyperparameters selection and the data setup. The most accurate scenario for the LASSO and SVR machine learning approaches is the single train/test dataset split with data for the whole Poland, while in case of the LSTM and GB trees it is the cross validation with data for whole Poland. Among the best scenarios for each model, the most accurate ex-post RMSE is obtained for the SVR. For the model performing best in terms of the ex-post RMSE, the interpretation of the outcome is conducted with the Shapley values. The Shapley values make it possible to present the impact of auxiliary variables in the machine learning model on the actual predicted value. The knowledge regarding factors that have the strongest impact on the number of new infections can help companies to plan their economic activity during turbulent times of pandemics. We propose to identify and compare the most important variables that affect both the train and test datasets of the model.
Studies on some persistency traits in Murrah buffaloes

The effect of period, season and parity of calving was studied on 936 lactations of 311 Murrah buffaloes spread over a period of 31 years from 1970–2000. Period of calving had significant (P < 0.01) influence on peak yield (PY), days to attain peak yield (DAPY), total yield up to peak (TYP), average dally milk yield up to peak (DMYP) but rate of increase up to peak yield (RINCPY) did not influence significantly by period of calving. Season of calving and parity showed non-significant effect on all the above traits except effect of parity (P < 0.01) on peak yield. The least-squares means for PV, DAPY, TYP, DMYP and RINCPY were 7.90±0.08 kg, 45.47±1.32 days, 239.75±7.80 kg, 5.22±0.07 kg and 0.153±0.006 kg/day, respectively. The h2 values were 0.67±0.17, 0.68±0.17 and 0.73±0.17 for DAPY, DMYP and RINCPY, respectively.
Influence of Immobilization Strategies on the Antibacterial Properties of Antimicrobial Peptide-Chitosan Coatings

It is key to fight bacterial adhesion to prevent biofilm establishment on biomaterials. Surface immobilization of antimicrobial peptides (AMP) is a promising strategy to avoid bacterial colonization. This work aimed to investigate whether the direct surface immobilization of Dhvar5, an AMP with head-to-tail amphipathicity, would improve the antimicrobial activity of chitosan ultrathin coatings. The peptide was grafted by copper-catalyzed azide-alkyne cycloaddition (CuAAC) chemistry by either its C- or N- terminus to assess the influence of peptide orientation on surface properties and antimicrobial activity. These features were compared with those of coatings fabricated using previously described Dhvar5-chitosan conjugates (immobilized in bulk). The peptide was chemoselectively immobilized onto the coating by both termini. Moreover, the covalent immobilization of Dhvar5 by either terminus enhanced the antimicrobial effect of the chitosan coating by decreasing colonization by both Gram-positive (Staphylococcus aureus, Staphylococcus epidermidis) and Gram-negative (Escherichia coli, Pseudomonas aeruginosa) bacteria. Relevantly, the antimicrobial performance of the surface on Gram-positive bacteria depended on how Dhvar5-chitosan coatings were produced. An antiadhesive effect was observed when the peptide was grafted onto prefabricated chitosan coatings (film), and a bactericidal effect was exhibited when coatings were prepared from Dhvar5-chitosan conjugates (bulk). This antiadhesive effect was not due to changes in surface wettability or protein adsorption but rather depended on variations in peptide concentration, exposure, and surface roughness. Results reported in this study show that the antibacterial potency and effect of immobilized AMP vary greatly with the immobilization procedure. Overall, independently of the fabrication protocol and mechanism of action, Dhvar5-chitosan coatings are a promising strategy for the development of antimicrobial medical devices, either as an antiadhesive or contact-killing surface.
EQUITY PLEDGE, PLEDGOR TYPE AND INVESTMENT EFFICIENCY

Equity pledging is susceptible to agency problems and substantial risk, resulting in inefficient corporate investment. We show the negative impact is not just induced by controlling shareholders but also pledged by non-controlling shareholders and actual controllers. Our results add that SOEs with control rights via controlling shareholders or actual controllers can mitigate investment inefficiency problems. We conclude that pledgor type matters and the impact of non-controlling shareholders’ pledges should not be neglected.
ON STATISTICAL CONVERGENCE

lim„ — {the number of k < n : | | > t} = 0. n These concepts are shown to be equivaleot. Also, Statistical convergence is studied as a regulär summability method, and it is shown that it cannot be included by any matrix metbod. There are two Tauberian theorems proved: one uses the Tauberian condition Axi, = 0(1/Ar), which is shown to be "best possible," and the other is concerned with gap sequences. AMS 1980 Classification numbers: 40A05, 40C05, 40D25, 40EX)5
Drivers and Hinderers of (Un)Sustainable Service: A Systems View

Making service provisioning significantly more sustainable is crucial if humankind wants to make a serious effort to operate within the boundaries of what the planet can support. The purpose of this paper is to develop a systemic understanding of sustainability in service provision and shed light on the mechanisms that drive unsustainability and hinder service providers in their efforts to be more sustainable. To contextualize our study, we focus on a significant sustainability problem: food waste stemming from food retail at the retailer-consumer interface. We make two theoretical contributions to the service research on sustainability. First, we offer a systemic conceptualization of sustainability in service as a dynamic ability of a focal system (e.g., a service firm) to sustain the system(s) that contains it. Second, we explicate the mechanisms—stocks and flows, feedback and mindsets—that contribute to (un)sustainable service provision as a systemic behavior, and which can thus be used as intervention points when designing sustainability initiatives. Our work also has significant practical implications for food retailers and policymakers working towards reaching UN’s Sustainable Development Goal 12.3, as we specify the feedback loops that drive food waste and hinder efforts to reduce it at the retailer-consumer interface.
Effectiveness of Different Training Modalities on Static Balance in Older Adults: A Systematic Review and Meta-Analysis

(1) Background: aging is associated with functional changes such as balance, which plays a critical role in older adults. Physical exercise has been established as a factor capable of modulating these age-related alterations. (2) Methods: a meta-analysis of randomized clinical trials (RCTs) was conducted. The systematic search was performed in the PubMed/MEDLINE, Web of Science, the SPORTDiscus and Cochrane Library databases. Articles were included if participants were 65 years or older, healthy and performing resistance training, aerobic training, balance training or multicomponent training. Studies were excluded if there was a combination of training with other types of intervention. The protocol of this systematic review was published in the International Prospective Register of Systematic Reviews (PROSPERO) with the code CRD42021233252 (3) Results: the search strategy found a total of 1103 studies. After removing duplicates and the inclusion and exclusion criteria, eight articles were included in the meta-analysis, with a total of 335 healthy older adults analyzed. The results showed no significant differences between the intervention groups and the control groups after the exercise programs. (4) Conclusions: interventions based on different types of exercise improved static balance in elderly population, but without statistically significant difference in comparison with the control groups.
An operational wave forecasting system for the Portuguese continental coastal area

An operational system based on numerical models for wind and wave forecasting in the Portuguese coastal area is presented. It is based on the wave models WAM (WAve prediction Model) and SWAN (Simulating WAves Nearshore), driven by the wind fields provided by the atmospheric models GFS (Global Forecast System) from NCEP (National Centers for Environmental Prediction) and MM5 (Mesoscale Meteorological Model), respectively.The system is operational since October 2008 and runs automatically on Linux and Windows environments. Forecast products for four days ahead are produced daily. Graphical outputs of the wave parameters (fields and temporal series) are made available in a restricted domain internet site. The validation of the results provided by the forecasting system is carried out by performing comparisons with both wind and wave measurements.
The critical points of lattice trees and lattice animals in high dimensions

We study lattice trees and lattice animals in high dimensions. Lattice trees and animals are interesting combinatorial objects used to model branched polymers in polymer science. They are also of interest in combinatorics and in the study of critical phenomena in statistical physics. The nearest-neighbor and spread-out models on the d dimensional integer lattice Zd , have edge set consisting of pairs {x,y} with ‖x−y‖1 = 1 and 0 < ‖x−y‖∞ ≤ L with L≥ 1 fixed, respectively. On either graph, a lattice animal is a finite connected subgraph, and a lattice tree is an animal without cycles. Let tn and an be the number of lattice trees and animals with n bonds that contain the origin, respectively. Standard subadditivity arguments provide the existence of the growth constants τ = limn→∞ t 1/n n and α = limn→∞ a 1/n n . We are interested in the critical points of these models, which are the reciprocals of the corresponding growth constants. We rigorously calculate the first three terms of a 1/d–expansion for the critical points of nearestneighbor lattice trees and animals. The proof follows a recursive argument similar to the one used in [20] and [24], to obtain analogous results for the critical points of self-avoiding walks and percolation. To provide the leading terms in the expansions, we use a mean-field model, related to the Galton-Watson branching process with critical Poisson offspring distribution, and results obtained with the lace expansion. The leading terms are also calculated in the spread-out model. Then we develop expansions for the nearest-neighbor generating functions and, together with the lace expansion, obtain the first and second correction terms. Our result gives a rigorous proof for previous work on the subject [11], [21, 36]. Given the algorithmic nature of the proof, it can be extended, with sufficient labor, to compute higher degree terms. It may provide the starting point for proving the existence of an asymptotic expansion with rational coefficients, for the critical point of nearest-neighbor lattice trees.
Early prenatal diagnosis of acardiac anomaly: A triplet case report

In early pregnancy, ultrasound is vital to confirm heart activity, check gestational age, determine the number of fetuses and assess chorionicity and amnionicity for multiple pregnancy. The scan between 11 and 13 + 6 weeks for nuchal translucency is used to screen for chromosomal abnormalities and major structural malformations. The incidence of multiple gestation pregnancy has increased in recent years due to in-vitro fertilization treatment. In 2016, China reported 0.3 million in vitro fertilization babies through assisted reproductive technology, which accounted for 1.6% of the total live births; the number of in vitro fertilization cycles performed increased from 360 in 2013 to 657 in 2016 per million inhabitants, and the proportion of twins among IVF deliveries was 27.9%. Acardiac anomaly, also called Twin Reversed Arterial Perfusion (TRAP) sequence, is a rare complication of monochorionic multiple pregnancies diagnosed in the first trimester by ultrasound. It is caused by an abnormal vascular anastomoses between the fetuses and is characterized by the presence of a twin embryo with an absent or nonfunctioning heart (“acardiac twin”) and a twin providing perfusion (“pump twin”) with normal appearance. In a series of 24 acardiac anomalies diagnosed between 11 and 13 weeks 6 days, there was spontaneous demise of the pump twin in 9 and obvious abnormalities in 2 between the first and second trimester. In another series of 15 acardiac anomalies diagnosed before 14 weeks, all fetuses which were managed expectantly, died. However survival in fetuses with intrauterine intervention was better. Early diagnosis allows for closer surveillance of the pregnancy and determine the best time for intrauterine intervention to improve the survival rate of the pump fetus.
Role of swept-source anterior segment optical coherence tomography in imaging pediatric cataract

Purpose: To determine the morphology of pediatric cataracts and assess the status of the anterior and posterior capsules preoperatively on swept-source anterior segment optical coherence tomography (ASOCT) and compare the findings to those of intraoperative examination. Secondly, we aimed to obtain biometric measurements on ASOCT and compare them to those obtained on A-scan/optical methods. Methods: This was a prospective and observational study carried out at a tertiary care referral institute. ASOCT scans for anterior segment were obtained preoperatively for all patients, aged <8 years, scheduled for paediatric cataract surgery. The morphology of the lens and capsule and biometry were performed on ASOCT and the same were assessed intraoperatively. The main outcome measures were comparison of ASOCT findings to intraoperative findings. Results: The study included 33 eyes of 29 patients (range 3 months–8 years). The morphological characterization of cataract on ASOCT was accurate in 31/33 (94%) cases. ASOCT accurately identified fibrosis and rupture of the anterior and posterior capsules in 32/33 (97%) cases each. In 30% of eyes, ASOCT gave additional information preoperatively compared to the slit lamp. Intraclass correlation coefficient (ICC) calculation revealed a good agreement between the keratometry values obtained on ASOCT and those obtained preoperatively with a handheld/optical keratometer (ICC = 0.86, P = 0.001). Conclusion: ASOCT is a valuable tool that could provide complete preoperative information of the lens and capsule in pediatric cataract cases. In children as young as 3 months of age, intraoperative risks and surprises could be diminished. The keratometric readings are highly dependent on patient cooperation but show good agreement with the handheld/optical keratometer readings.
Can the Affective Commitment and Job Satisfaction Mediate The Impact of Job Embeddedness on Turnover Intention?

The purpose of this survey to examine and analyze the relationship of research and analysis, affective commitment, job satisfaction, and employee turnover intention. This study uses a survey method with data collection. Samples from 30 employees of CV Cipta Utama Mandiri were taken using purposive sampling and analyze by SmartPLS-3.3. 5 software. The results of this study prove that high turnover intention is significantly influenced by affective commitment. This influence is negative, because employees who have strong emotional ties to the company feel they are part of the company which makes the employee reluctant to want to resign from the company. The findings also show that there is no significant negative effect of job embeddedness and job satisfaction on turnover intention. The mediating role of job satisfaction on the effect of job embeddedness on turnover intention is also not proven. However, strong affective commitment can convey the impact of job embeddedness on turnover intention.
Real-world outcomes and complications of different surgical approaches for significant submacular haemorrhages

Purpose: To evaluate the outcomes and complications after different surgical management of cases with significant sumacular hemorrhage (SMH) of size more than 4 disc diameter (DD). Methods: It was a retrospective interventional study. All consecutive 103 cases of significant SMHs were treated by vitrectomy and divided into three groups. In Group A (<4 weeks, confined to the macula or extending inferiorly, n = 62), vitrectomy, subretinal cocktail of tissue plasminogen activator (tPA), antivascular endothelial growth factor, and air with SF6 gas; in Group B (4–8 weeks, extending beyond macula, n = 31), subretinal tPA followed by SMH drainage either by retinotomy (Group B-1, n = 17) or by temporal 180-degree retinectomy (Group B-2, n = 14) with silicone oil (SO) tamponade; and in Group C (>8 weeks, extending beyond macula, n = 10), SMH removal with autologous retinal pigment epithelium (RPE)-Choroid patch graft transplantations with SO tamponade were performed. Parameters evaluated were best corrected visual acuity (BCVA), Optos, optical computerized tomography, and ultrasonography as required. Results: Significant visual improvement was seen from mean preoperative to mean postoperative BCVA in Group A (P < 0.001), Group B (P < 0.001), and Group C (P < 0.001). Postoperative complications were recurrent SMH (4.84% vs 12.90% vs 10%), vitreous hemorrhage (6.45%, GroupA), hyphema (4.84% vs 12.90% vs 10%), hypotony (nil vs 3.23% vs 20%), macular hole formation (6.45%, Group A), epiretinal membrane (16.13%, Group B), and retinal detachment (3.23%, Group A and 10%, Group C). Conclusion: Surgical approaches for significant submacular hemorrhage are visually awarding, though certain specific complications may arise.
Structure and variability of the Oman coastal low-level jet

In this study, reanalysis and regional atmospheric modelling was used to resolve the climatology and mesoscale structure, spatial variability and temporal characteristics of the Oman coastal low-level jet (CLLJ). The limited area model COAMPS® was used at a 6-km horizontal resolution for a 5-month period (May–September) during 2009. Analysis of high-resolution model fields reveals the mesoscale structure of the Oman CLLJ, clearly distinguishing it from the large-scale South Asia monsoon circulation farther offshore, and from the previously identified Findlater (or Somali) jet, which occurs at a higher altitude. The Oman CLLJ is closer to the coast and spreads northeastward along the coast of Oman, clearly interacting with the coastal topography and headlands. It has a very strong annual cycle, related to the South Asia monsoon, with July exhibiting the highest CLLJ frequency of occurrence (around 80%) and highest wind speeds (around 27 ms−1), and May and September being the transition months. The southerly location of the Oman CLLJ, along with the very strong inland summer heating in the Arabian Peninsula, affects its diurnal cycle, with highest number of occurrences early in the morning, whereas the highest wind speeds occur during late afternoon, setting this CLLJ apart from other coastal jets in mid-latitude areas along eastern boundary currents.
Functional Foods Acceptability: A Consumers’ Survey on Bread Enriched with Oenological By-Products

In recent years, consumers have shown considerable attention to functional foods that can provide various benefits. At the same time, the awareness of the problem of waste generation from the agri-food supply chains has increased; thus, scholars and practitioners are devoting great attention to sustainable food waste management. Within the wine processing, the production phase generates by-products such as marc, grape seeds, stems, and wine lees. In most cases, these by-products are treated as waste rather than as a resource, creating environmental, economic, and social impacts related to their disposal. By contrast, the reuse of oenological by-products in food production can have several health benefits, since they are rich in functional molecules such as fibres, polyphenols, and vitamin E, and can also trigger a circular economy model. The aim of this research is to investigate the acceptance of consumers towards bread enriched with oenological by-products through the application of k-means clustering, providing insights on the characterisation of groups of consumers based on their specific features and declared attitudes. The results showed three different consumers’ clusters, highlighting that the acceptance of this enriched bread is not influenced by the consumers’ socio-economic features, but it is related to consumers’ sensitivity. Therefore, target strategies should be put in place to inform consumers about the benefits associated with the consumption of bread enriched with oenological by-products.
Mining Semantic Information With Dual Relation Graph Network for Multi-Label Image Classification

The purpose of multi-label image classification is to assign multiple labels for multiple objects presented in one image. Recent research efforts exploit graph convolution network (GCN) to learn the label co-occurrence dependencies for enhancing the semantic representation. Although these methods have achieved promising results, they can not capture the intrinsic correlation between objects in images and do not consider the inter-channel relationship. In addition, the previous methods treat each single image independently and fail to explore the relationship between different images. To address the above challenges, we propose a novel Dual Relation Graph Network (DRGN) model, which adopts a double branch structure to excavate rich semantic information from intra-image and cross-image simultaneously. Specifically, we first develop an intra-image channel-relation mining (ICM) module to mine the inter-channel relationship in features while learning the importance of different channels. Secondly, we design a new GCN-based intra-image spatial-relation exploring (ISE) module to capture the correlation between objects in individual image. Notably, ISE module and ICM module can complement and promote each other from the spatial and channel dimensions of images to improve the correlation between objects in individual image. Thirdly, we propose a novel GCN-based cross-image semantic learning (CSL) module to learn the semantic relationship between different images in the mini-batch. Through graph reasoning, our CSL module can iteratively refine input image features by acquiring common semantic information from other images in the mini-batch. Extensive experiments on the MS-COCO 2014, PASCAL VOC 2007, and VG-500 datasets demonstrate that the proposed DRGN model outperforms current state-of-the-art methods.