Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of Tumor Necrosis Factor-Alpha, Interleukin-1β, Interleukin-8, and Interferon-γ with Obstructive Sleep Apnea in Both Children and Adults: A Meta-Analysis of 102 Articles

Background: Cytokines may have a significant impact on sleep regulation. In this meta-analysis, we present the serum/plasma levels of tumor necrosis factor-alpha (TNF-α), interleukin (IL)-8, IL-1β, and interferon-gamma (IFN-γ) in both children and adults with obstructive sleep apnea (OSA) in comparison to controls. Methods: Four electronic databases were systematically searched (PubMed, Web of Science, Scopus, and Cochrane Library) through 19 October 2023, without any restrictions on language, date, age, and sex. We used Review Manager version 5.3 to perform meta-analysis and presented the data as standardized mean difference (SMD) and 95% confidence interval (CI) values to evaluate the relationships between the levels of cytokines and OSA. Results: A total of 102 articles (150 independent studies) were included in the meta-analysis. The pooled SMDs in adults were 1.42 (95%CI: 1.11, 1.73; p < 0.00001), 0.85 (95%CI: 0.40, 1.31; p = 0.0002), 0.69 (95%CI: 0.22, 1.16; p = 0.004), and 0.39 (95%CI: −0.37, 1.16; p = 0.31) for TNF-α, IL-8, IL-1β, and IFN-γ, respectively. The pooled SMDs in children were 0.84 (95%CI: 0.35, 1.33; p = 0.0008), 0.60 (95%CI: 0.46, 0.74; p < 0.00001), 0.25 (95%CI: −0.44, 0.93; p = 0.49), and 3.70 (95%CI: 0.75, 6.65; p = 0.01) for TNF-α, IL-8, IL-1β, and IFN-γ, respectively. Conclusions: The levels of proinflammatory cytokines of TNF-α, IL-8, and IL-1β in adults, and TNF-α, IL-8, and IFN-γ in children with OSA, are significantly higher than those in controls.
VALUES FROM AN ANTAGONIST: ERIK’S FAVORABLE CHARACTERS FROM LEROUX’S THE PHANTOM OF THE OPERA

The present study aimed at analyzing round and dynamic characters to look into the various dimensions of the antagonist in Gaston Leroux's The Phantom of the Opera and to reveal positive characterizations of an antagonist who is otherwise condemned as inherently evil due to its narrative function. The research was done under textual analysis employing McKee's (2003) as the grounded research design. The data were obtained from Gaston Leroux's Novel (1910), The Phantom of the Opera, in which Erik, the main antagonist, was focused the most. The data were gathered through some instruments, including notes and a table of classifications. The present study figures out some of the antagonist’s favorable characterizations even when he lived in difficult situations: talented singer, skillful entertainer, tenacious songwriter, and faithful lover. These findings imply that favorable values can be obtained even from the antagonists, rendering readers to be more critical in judging characters.
Dancing with cranes: a humanist perspective on cultural ecosystem services of wetlands

Abstract Cultural ecosystem services (CES) are important spatial elements providing humans with recreational, esthetic, spiritual, and other benefits. Yet, because of their immaterial, subjective, qualitative, and unmeasurable nature, this means that scientists, decision-makers, and general public often find their value difficult to grasp. We enrich the CES approach with theoretical insights from humanist geography, where we frame CES as arising from perpetual interactions between humans and their environment. Places are formed through various processes, both organic and planned, which endow people with unique identities, experiences, capabilities, knowledge, and skills. We use the rural wetland area of Lake Hornborga, Sweden, with its complex history of restoration phases, to explore the profound interrelations between environmental spaces and cultural practices expressed in the everyday activities of learning, playing, creating, caring, producing, and consuming. The data was collected through qualitative methods, including interviews, observations, and a focused group interview, in order to capture these unique senses and experiences. Thefindings outline CES as key drivers behind the formation of place, rather than mere labels for inventorying benefits people receive from nature. The presence of the iconic migratory crane is especially conducive to a positive sense of place and the practice of various activities, including tourism, around the wetland. We frame the implications for planning and future research of our findings within a context of ethics.
IMUs Can Estimate Hip and Knee Range of Motion during Walking Tasks but Are Not Sensitive to Changes in Load or Grade

The ability to estimate lower-extremity mechanics in real-world scenarios may untether biomechanics research from a laboratory environment. This is particularly important for military populations where outdoor ruck marches over variable terrain and the addition of external load are cited as leading causes of musculoskeletal injury As such, this study aimed to examine (1) the validity of a minimal IMU sensor system for quantifying lower-extremity kinematics during treadmill walking and running compared with optical motion capture (OMC) and (2) the sensitivity of this IMU system to kinematic changes induced by load, grade, or a combination of the two. The IMU system was able to estimate hip and knee range of motion (ROM) with moderate accuracy during walking but not running. However, SPM analyses revealed IMU and OMC kinematic waveforms were significantly different at most gait phases. The IMU system was capable of detecting kinematic differences in knee kinematic waveforms that occur with added load but was not sensitive to changes in grade that influence lower-extremity kinematics when measured with OMC. While IMUs may be able to identify hip and knee ROM during gait, they are not suitable for replicating lab-level kinematic waveforms.
Establishment and validation of a nomogram for subsequent first-cycle live births in patients diagnosed with recurrent implantation failure: a population-based analysis

Background The inability of patients with recurrent implantation failure (RIF) to achieve pregnancy and a live birth after multiple high-quality embryo transfer treatments has been recognized as a major obstacle to successful application of artificial reproductive technologies. The objective of this study was to establish and validate a nomogram for prediction of subsequent first-cycle live births to guide clinical practice in patients diagnosed with RIF. Methods A total of 538 patients who underwent in vitro fertilization/intracytoplasmic sperm injection treatment and were first diagnosed with RIF at the Reproductive Center of the First Affiliated Hospital of Xinjiang Medical University between January 2017 and December 2020 were enrolled. The patients were randomly divided into a training cohort (n=408) and a validation set (n=175) in a ratio of 7:3. A nomogram model was constructed using the training set based on the results of univariate and multivariate logistic regression analyses and validated in the validation set. Results Age, body mass index, duration of RIF, endometrial thickness, type of embryo transferred, and number of previous biochemical pregnancies were included in the nomogram for prediction of subsequent first-cycle live births in patients diagnosed with RIF. Analysis of the area under the receiver-operating characteristic curve, calibration plots, and decision curve analysis showed that our predictive model for live births had excellent performance. Conclusion We have developed and validated a novel predictive model that estimates a woman’s chances of having a live birth after a diagnosis of RIF and provides clinicians with a personalized clinical decision-making tool.
Quantifying the non-point source contribution to nutrient loading on freshwaters in 32 UK catchments

The construction of nutrient budgets for the catchments of nutrient-enriched water bodies is an essential requirement where the management objective is to restore water quality. Such budgets become valuable tools for informing the catchment manager of the origins of the current nutrient loading, and the degree to which this has increased as a result of human activities. A robust nutrient budget is of critical importance if i t is to provide a reliable indication of the origins of nutrients in lakes and rivers and to be of use in the selection of suitable management strategies. How• ever, non-point source nutrient loading on freshwaters is frequendy underestimated in eutrophication control programmes, particularly in agricultural catchments. This is particularly so where the nutrient budget is based on load calculations from waterquality monitoring programmes, as it is unusual for the full range of N species and P fractions to be determined in routine water qualiry assessments, and stillless likely that sampling visits are more frequent than monrhly. This poses problems where waterquality managers attempt to use the data to construct nutrient budgets in rivers and lakes. Even greater problems may ensue if the budgets thus constructed are used to inform the selection of suitable nutrient control management strategies. There is, therefore, a need to find alternative means of calculating nutrient budgets at the catchment scale where more frequent water quality monitoring is nor possible.
Cross-Modal Video Retrieval Model Based on Video-Text Dual Alignment

—Cross-modal video retrieval remains a major challenge in natural language processing due to the natural semantic divide between video and text. Most approaches use a single encoder to extract video and text features separately, and train video-text pairs by means of contrastive learning, but this global alignment of video and text is prone to neglecting more fine-grained features of both. In addition, some studies focus only on profiling the video description text, ignoring the correlation relationship with the video. Therefore, this paper proposes a video retrieval method based on video-text alignment, which realizes both global and fine-grained alignment between video and text. For global alignment, the video and text are aligned by a single encoder and after linear projection; for fine-grained alignment, the video encoder is trained to align the video and text by masking some semantic information in the text. By experimentally comparing with multiple existing methods on MSR-VTT and MSVD datasets, the model achieves R@1 (recall at 1) metrics of 51.5% and 52.4% on MSR-VTT and MSVD datasets, respectively, which indicates that the proposed model can improve the efficiency of cross-modal video retrieval.
A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic Images

Despite the wide variety of methods developed for synthetic image attribution, most of them can only attribute images generated by models or architectures included in the training set and do not work with unknown architectures, hindering their applicability in real-world scenarios. In this paper, we propose a verification framework that relies on a Siamese Network to address the problem of open-set attribution of synthetic images to the architecture that generated them. We consider two different settings. In the first setting, the system determines whether two images have been produced by the same generative architecture or not. In the second setting, the system verifies a claim about the architecture used to generate a synthetic image, utilizing one or multiple reference images generated by the claimed architecture. The main strength of the proposed system is its ability to operate in both closed and open-set scenarios so that the input images, either the query and reference images, can belong to the architectures considered during training or not. Experimental evaluations encompassing various generative architectures such as GANs, diffusion models, and transformers, focusing on synthetic face image generation, confirm the excellent performance of our method in both closed and open-set settings, as well as its strong generalization capabilities.
Electronic Structure Studies with Spin-Orbit Coupling Effect of the Molecule TlI

To study the low–lying electronic states of the TlI molecule, the electronic structure of this molecule has been investigated via an ab initio Complete Active Space Self Consistent Field and the Multireference Configuration Interaction with Davidson correction calculation (CASSCF/MRCI+Q). In the representations of 2s+1Λ(+/−) and (±), the adiabatic potential energy curves (PECs) along with static and transition dipole moment (DM) curves for 19 low-lying electronic states for TlI molecule have been investigated. For the low-lying electronic states of this molecule, the spectroscopic constants Re, Te, ωe, and Be, are provided. Based on the data obtained, this molecule is not a candidate for a Doppler laser cooling study.
Modifikasi DBSCAN (Density-Based Spatial Clustering with Noise) Pada Objek 3 Dimensi

Spatial Data Clustering merupakan salah satu teknik penting pada data mining yang digunakan untuk mendapatkan informasi atau pengetahuan pada data spasial dalam jumlah yang besar dari berbagai aplikasi. Salah satu teknik yang menjadi pelopor perkembangan algoritma clustering pada data spasial adalah Density-Based Spatial Clustering Algorithm with Noise (DBSCAN). Pada umumnya algoritma ini diaplikasikan pada data-data spasial pada objek 2 dimensi. Pada paper ini akan dibahas bagaimana melakukan clustering pada objek 3 dimensi berdasarkan density antar objek. Hasil percobaan yang didapatkan adalah dengan memodifikasi untuk mendapatkan fungsi region distance maka algoritma DBSCAN dapat diaplikasikan pada objek 3D dengan hasil yang optimal. Tidak terdapat perubahan signifikan mulai dari tahap-tahap algoritma dan performa algoritma DBSCAN pada Object 3D.
Toward a SARS-CoV-2 VLP Vaccine: HBc/G as a Carrier for SARS-CoV-2 Spike RBM and Nucleocapsid Protein-Derived Peptides

Virus-like particles (VLPs) offer an attractive possibility for the development of vaccines. Recombinant core antigen (HBc) of Hepatitis B virus (HBV) was expressed in different systems, and the E. coli expression system was shown to be effective for the production of HBc VLPs. Here, we used HBc of the HBV genotype G (HBc/G) as a technologically promising VLP carrier for the presentation of spike RBM and nucleocapsid protein-derived peptides of the SARS-CoV-2 Delta variant for subsequent immunological evaluations of obtained fusion proteins. The major immunodominant region (MIR) of the HBc/G protein was modified through the insertion of a receptor binding motif (RBM) from the S protein or B-cell epitope-containing peptide from the N protein. The C-terminus of the two truncated HBc/G proteins was used for the insertion of a group of five cytotoxic T lymphocyte (CTL) epitopes from the N protein. After expression in E. coli, the MIR-derived proteins were found to be insoluble and were recovered through step-wise solubilization with urea, followed by refolding. Despite the lack of correct VLPs, the chimeric proteins induced high levels of antibodies in BALB/c mice. These antibodies specifically recognized either eukaryotically expressed hRBD or bacterially expressed N protein (2–220) of SARS-CoV-2. CTL-epitope-containing proteins were purified as VLPs. The production of cytokines was analyzed through flow cytometry after stimulation of T-cells with target CTL peptides. Only a protein with a deleted polyarginine (PA) domain was able to induce the specific activation of T-cells. At the same time, the T-cell response against the carrier HBc/G protein was detected for both proteins. The neutralization of SARS-CoV-2 pseudotyped murine retrovirus with anti-HBc/G-RBM sera was found to be low.
Performance of Wheat (Tricticum avestium L.) as Influenced By Application of Single Super Phosphate Alone and In Combination with Different Organic Fertilizers In Calcareous Soil of Swabi, Pakistan

Effect of Single Super Phosphate (SSP) alone and in combination with different organic fertilizers on wheat ( Tricticum avestium L.) Production was evaluated in a field study conducted at farmer field located Swabi, Pakistan during 2017-18. Results exposed that among all the treatments, combined application of SSP at 100kg ha -1 along with 6 t ha -1 Poultry manure significantly improved the growth as well as yield parameters of wheat crop. On the other hand spike length remained unaffected by all the treatments in the prevailing soil and environmental condition. Combined use of SSP and PM were suggested for obtaining optimum yield of wheat crop
Use of satellite leaf area index estimating evapotranspiration and gross assimilation for Australian ecosystems

Accurate quantification of terrestrial evapotranspiration and ecosystem productivity is of significant merit to better understand and predict the response of ecosystem energy, water, and carbon budgets under climate change. Existing diagnostic models have different focus on either water or carbon flux estimates with various model complexity and uncertainties induced by distinct representation of the coupling between water and carbon processes. Here, we propose a diagnostic model to estimate evapotranspiration and gross primary production that is based on biophysical mechanism yet simple for practical use. This is done by coupling the carbon and water fluxes via canopy conductance used in the Penman–Monteith–Leuning equation (named as PML_V2 model). The PML_V2 model takes Moderate Resolution Imaging Spectrometer leaf area index and meteorological variables as inputs. The model was tested against evapotranspiration and gross primary production observations at 9 eddy‐covariance sites in Australia, which are spread across wide climate conditions and ecosystems. Results indicate that the simulated evapotranspiration and gross primary production by the PML_V2 model are in good agreement with the measurements at 8‐day timescale, indicated by the cross site Nash–Sutcliffe efficiency being 0.70 and 0.66, R2 being 0.80 and 0.75, and root mean square error being 0.96 mm d−1 and 1.14 μmol m−2 s−1 for evapotranspiration and gross primary production, respectively. As the PML_V2 model only requires readily available climate and Moderate Resolution Imaging Spectrometer vegetation dynamics data and has few parameters, it can potentially be applied to estimate evapotranspiration and carbon assimilation simultaneously at long‐term and large spatial scales.
“Why Do You Think That?” A Supervisor’s Mediation of a Preservice English Teacher’s Understanding of Instructional Scaffolding

This article reports a study of a university supervisor and a preservice English language arts teacher as they worked collaboratively within two different field experience sites to develop a conceptual understanding of instructional scaffolding. An analysis of classroom observations and mentoring conversations was conducted to examine how the supervisor supported the preservice teacher’s transfer of tools for instruction from a university program to the high school classroom. Findings indicate the significant role of the teacher education program’s conceptual base in fostering this transfer.
Migrants Networks and Survival in the Job: Evidence from Foreign Newcomers on the PGA Tour

How do migrant social networks matter for performance in the job? We examine this by constructing a nationality-based network of foreign newcomers when they first begin to play in the PGA TOUR and examine the impact of this initial social network on newcomers’ probability of surviving (i.e., keeping their license) at the end of their inaugural PGA TOUR season. We find that the migrant social network matters among the non-elite group of players in the second tier of the PGA TOUR, but not among the elite group of players in the first tier of the PGA TOUR. For the second-tier tour players, we find that density of connections within a nationality cluster has a sizable positive effect on newcomers’ probability of surviving, but no evidence that the centrality of a nationality cluster in the overall PGA TOUR network has an impact on survival.
The effects of combined sea temperature, light, and carbon dioxide on coral bleaching, settlement, and growth : the first annual Combined Effects Think Tank to Support CREWS Modeling

We are using a novel cellular diagnostic system (CDS) to assess the physiological status of corals by assaying specific parameters of cellular physiology. In a recent series of papers, we demonstrated how this technology can be used to characterize coral health. In laboratory studies, diagnostic cellular parameters distinguished the separate and combined effects of heat and light on a star coral (Montastraea faveolata) and its symbiont (zooxanthellae), and provided evidence that oxidative stress plays a central role in bleaching. In defined areas of south Florida (Biscayne National Park) and the upper Florida Keys, colonies of M. annularis showed a strong correlation between oxidative stress parameters and bleaching. Under non-bleaching conditions, analysis of these colonies provided evidence for local stressor effects and possible types of stressors. Thus the CDS is allowing us to (1) diagnose whether corals are physiologically stressed, (2) discriminate between global-level stressors (e.g., El Nino/La Nina effects) and local-level stressors (e.g., agricultural runoff) and (3) possibly predict the condition of corals several months before more obvious symptoms appear (e.g., coral bleaching or coral death).
Climatic Controls on Watershed Reference Evapotranspiration Varied during 1961–2012 in Southern China

Reference evapotranspiration (ETo) is an important hydrometeorological term widely used in understanding and projecting the hydrological effects of future climate and land use change. We conducted a case study in the Qinhuai River Basin that is dominated by a humid subtropical climate and mixed land uses in southern China. Long‐term (1961–2012) meteorological data were used to estimate ETo by the FAO‐56 Penman–Monteith model. The individual contribution from each meteorological variable to the trend of ETo was quantified. We found basin‐wide annual ETo decreased significantly (p < 0.05) by 3.82 mm/yr during 1961–1987, due to decreased wind speed, solar radiation, vapor pressure deficit (VPD), and increased relative humidity (RH). However, due to the increased VPD and decreased RH, the ETo increased significantly (p < 0.05) in spring, autumn, and annually at a rate of 2.55, 0.56, and 3.16 mm/yr during 1988–2012, respectively. The aerodynamic term was a dominant factor controlling ETo variation in both two periods. We concluded the key climatic controls on ETo have shifted as a result of global climate change during 1961–2012. The atmospheric demand, instead of air temperature alone, was a major control on ETo. Models for accurately predicting ETo and hydrological change under a changing climate must include VPD in the study region. The shifts of climatic control on the hydrological cycles should be considered in future water resource management in humid regions.
A spatially distributed Clark’s unit hydrograph based hybrid hydrologic model (Distributed-Clark)

ABSTRACT A hybrid hydrologic model (Distributed-Clark), which is a lumped conceptual and distributed feature model, was developed based on the combined concept of Clark’s unit hydrograph and its spatial decomposition methods, incorporating refined spatially variable flow dynamics to implement hydrological simulation for spatially distributed rainfall–runoff flow. In Distributed-Clark, the Soil Conservation Service (SCS) curve number method is utilized to estimate spatially distributed runoff depth and a set of separated unit hydrographs is used for runoff routing to obtain a direct runoff flow hydrograph. Case studies (four watersheds in the central part of the USA) using spatially distributed (Thiessen polygon-based) rainfall data of storm events were used to evaluate the model performance. Results demonstrate relatively good fit to observed streamflow, with a Nash-Sutcliffe efficiency (ENS) of 0.84 and coefficient of determination (R2) of 0.86, as well as a better fit in comparison with outputs of spatially averaged rainfall data simulations for two models including HEC-HMS.