Miracle-dz/UniFAR-FTUs huggingface dataset:
Empowerment, Stress, and Depressive Symptoms Among Female Survivors of Intimate Partner Violence Attending Personal Empowerment Programs

Intimate partner violence (IPV) affects one in three women and can have long-lasting psychological effects, with abuse survivors typically exhibiting elevated stress and depressive symptoms. However, women with greater personal empowerment resources (i.e., self-care, agency, self-efficacy) and who practice relaxation techniques generally exhibit lower stress and depressive symptoms. The present study investigated the effectiveness of Personal Empowerment Programs (PEP) and practicing relaxation techniques in promoting empowerment and lowering stress and depressive symptoms. Ninety women were recruited from PEP classes conducted at domestic violence agencies in Orange County, California. Salivary cortisol and affect were assessed before and after one PEP class. Perceived stress, depressive symptoms, empowerment, and relaxation techniques were also assessed. Practicing relaxation techniques correlated with more empowerment. For women without sexual abuse experiences only, having completed more classes (>5 classes) in the program was associated with greater empowerment, less stress, and fewer depressive symptoms. Implications extend to future studies and interventions for IPV survivors.
Interaction of α Carboxyl Terminus 1 Peptide With the Connexin 43 Carboxyl Terminus Preserves Left Ventricular Function After Ischemia‐Reperfusion Injury

Background α Carboxyl terminus 1 (αCT1) is a 25–amino acid therapeutic peptide incorporating the zonula occludens‐1 (ZO‐1)–binding domain of connexin 43 (Cx43) that is currently in phase 3 clinical testing on chronic wounds. In mice, we reported that αCT1 reduced arrhythmias after cardiac injury, accompanied by increases in protein kinase Cε phosphorylation of Cx43 at serine 368. Herein, we characterize detailed molecular mode of action of αCT1 in mitigating cardiac ischemia‐reperfusion injury. Methods and Results To study αCT1‐mediated increases in phosphorylation of Cx43 at serine 368, we undertook mass spectrometry of protein kinase Cε phosphorylation assay reactants. This indicated potential interaction between negatively charged residues in the αCT1 Asp‐Asp‐Leu‐Glu‐Iso sequence and lysines (Lys345, Lys346) in an α‐helical sequence (helix 2) within the Cx43‐CT. In silico modeling provided further support for this interaction, indicating that αCT1 may interact with both Cx43 and ZO‐1. Using surface plasmon resonance, thermal shift, and phosphorylation assays, we characterized a series of αCT1 variants, identifying peptides that interacted with either ZO‐1–postsynaptic density‐95/disks large/zonula occludens‐1 2 or Cx43‐CT, but with limited or no ability to bind both molecules. Only peptides competent to interact with Cx43‐CT, but not ZO‐1–postsynaptic density‐95/disks large/zonula occludens‐1 2 alone, prompted increased pS368 phosphorylation. Moreover, in an ex vivo mouse model of ischemia‐reperfusion injury, preischemic infusion only with those peptides competent to bind Cx43 preserved ventricular function after ischemia‐reperfusion. Interestingly, a short 9–amino acid variant of αCT1 (αCT11) demonstrated potent cardioprotective effects when infused either before or after ischemic injury. Conclusions Interaction of αCT1 with the Cx43, but not ZO‐1, is correlated with cardioprotection. Pharmacophores targeting Cx43‐CT could provide a translational approach to preserving heart function after ischemic injury.
JAK1/2 pathway inhibition suppresses M2 polarization and overcomes resistance of myeloma to lenalidomide by reducing TRIB1, MUC1, CD44, CXCL12, and CXCR4 expression

Monocytes polarize into pro‐inflammatory macrophage‐1 (M1) or alternative macrophage‐2 (M2) states with distinct phenotypes and physiological functions. M2 cells promote tumour growth and metastasis whereas M1 macrophages show anti‐tumour effects. We found that M2 cells were increased whereas M1 cells were decreased in bone marrow (BM) from multiple myeloma (MM) patients with progressive disease (PD) compared to those in complete remission (CR). Gene expression of Tribbles homolog 1 (TRIB1) protein kinase, an inducer of M2 polarization, was increased in BM from MM patients with PD compared to those in CR. Ruxolitinib (RUX) is an inhibitor of the Janus kinase family of protein tyrosine kinases (JAKs) and is effective for treating patients with myeloproliferative disorders. RUX markedly reduces both M2 polarization and TRIB1 gene expression in MM both in vitro and in vivo in human MM xenografts in severe combined immunodeficient mice. RUX also downregulates the expression of CXCL12, CXCR4, MUC1, and CD44 in MM cells and monocytes co‐cultured with MM tumour cells; overexpression of these genes is associated with resistance of MM cells to the immunomodulatory agent lenalidomide. These results provide the rationale for evaluation of JAK inhibitors, including MM BM in combination with lenalidomide, for the treatment of MM patients.
Effect of Recombinant Activated Coagulation Factor VII on Hemorrhage Expansion Among Patients With Spot Sign-Positive Acute Intracerebral Hemorrhage: The SPOTLIGHT and STOP-IT Randomized Clinical Trials.

Importance Intracerebral hemorrhage (ICH) is a devastating stroke type that lacks effective treatments. An imaging biomarker of ICH expansion-the computed tomography (CT) angiography spot sign-may identify a subgroup that could benefit from hemostatic therapy. Objective To investigate whether recombinant activated coagulation factor VII (rFVIIa) reduces hemorrhage expansion among patients with spot sign-positive ICH. Design, Setting, and Participants In parallel investigator-initiated, multicenter, double-blind, placebo-controlled randomized clinical trials in Canada ("Spot Sign" Selection of Intracerebral Hemorrhage to Guide Hemostatic Therapy [SPOTLIGHT]) and the United States (The Spot Sign for Predicting and Treating ICH Growth Study [STOP-IT]) with harmonized protocols and a preplanned individual patient-level pooled analysis, patients presenting to the emergency department with an acute primary spontaneous ICH and a spot sign on CT angiography were recruited. Data were collected from November 2010 to May 2016. Data were analyzed from November 2016 to May 2017. Interventions Eligible patients were randomly assigned 80 μg/kg of intravenous rFVIIa or placebo as soon as possible within 6.5 hours of stroke onset. Main Outcomes and Measures Head CT at 24 hours assessed parenchymal ICH volume expansion from baseline (primary outcome) and total (ie, parenchymal plus intraventricular) hemorrhage volume expansion (secondary outcome). The pooled analysis compared hemorrhage expansion between groups by analyzing 24-hour volumes in a linear regression model adjusted for baseline volumes, time from stroke onset to treatment, and trial. Results Of the 69 included patients, 35 (51%) were male, and the median (interquartile range [IQR]) age was 70 (59-80) years. Baseline median (IQR) ICH volumes were 16.3 (9.6-39.2) mL in the rFVIIa group and 20.4 (8.6-32.6) mL in the placebo group. Median (IQR) time from CT to treatment was 71 (57-96) minutes, and the median (IQR) time from stroke onset to treatment was 178 (138-197) minutes. The median (IQR) increase in ICH volume from baseline to 24 hours was small in both the rFVIIa group (2.5 [0-10.2] mL) and placebo group (2.6 [0-6.6] mL). After adjustment, there was no difference between groups on measures of ICH or total hemorrhage expansion. At 90 days, 9 of 30 patients in the rFVIIa group and 13 of 34 in the placebo group had died or were severely disabled (P = .60). Conclusions and Relevance Among patients with spot sign-positive ICH treated a median of about 3 hours from stroke onset, rFVIIa did not significantly improve radiographic or clinical outcomes. Trial Registration ClinicalTrials.gov identifier: NCT01359202 and NCT00810888.
Survival of patients with metastatic HER2 positive gastro-oesophageal cancer treated with second-line chemotherapy plus trastuzumab or ramucirumab after progression on front-line chemotherapy plus trastuzumab

Background The role of continuing anti-HER2 therapy beyond progression on front-line therapy in patients with metastatic HER2 positive gastro-oesophageal cancer (GEC) is unclear. Continued chemotherapy plus trastuzumab (CT) has never been compared with the current standard second-line treatment, chemotherapy plus ramucirumab (CR). Methods The Flatiron Health electronic health record derived database, a nationwide database comprising patient-level structured and unstructured data, curated via technology-enabled abstraction, was reviewed for patients with metastatic HER2 positive GEC who received first-line CT, followed by second-line CT or CR. Survival from second-line therapy (SST) and time to next therapy or death (TTNTD) were compared using Kaplan-Meier curves and logrank analysis. Results 133 patients with metastatic HER2 positive GEC who received first-line CT were identified. 32 received second-line CR and 101 received CT. Median SST for patients treated with CT versus CR was 10.2 months (IQR 5.1–20.8) and 6.8 months (IQR 2.4–20.2), respectively (p=0.29). Median TTNTD for second-line CT versus CR was 4.9 months (IQR 2.8–9.8) and 5.1 months (IQR 2.3–7.5), respectively (p=0.65). Patients who received second-line CT were more likely to receive a multiagent chemotherapy backbone (76% vs 3%, p≤0.001). Conclusions This analysis showed no significant difference in SST for patients treated with second-line CT versus CR. Further studies are needed to clarify the role of trastuzumab in the second line, especially in patients with confirmed retention of HER2 positivity following progression.
Histological and immunohistochemical comparison of two different allogeneic bone grafting materials for alveolar ridge reconstruction: A prospective randomized trial in humans

ABSTRACT Background Preclinical studies have hypothesized a possible immunological reponse to allogeneic materials due to detection of remnants of potential immunogenic molecules. However, their impact on integration, bone remodeling and immunological reaction after the augmentation procedure is largely unknown and a direct correlation of analytical data and evaluation of human biopsies is missing. Purpose The present study aimed to compare two commercially available allogeneic materials regarding their content of cellular remnants as well as the bone remodeling, and integration and potential immunologic reactions on a histological and immunohistochemical level, integrating also in vitro analytical evaluation of the specific batches that were used clinically. Materials and Methods Twenty patients were randomly assigned to treatment with Maxgraft or Puros for lateral ridge augmentation in a two‐stage surgery. After a mean healing period of 5 months, implants were placed and biopsies were taken for histological, immunhistochemical, and histomorphometrical evaluation regarding bone remodeling and inflammation, protein concentrations in vitro and the presence of MHC molecules of the same batches used clinically. Results No differences in clinical outcome, histological, immunohistochemical, and in vitro protein analysis between the two bone grafting materials were observed. Active bone remodeling, amount of newly formed bone, and residual grafting material was independent of the materials used, but varied between subjects. MHC1 residues were not detected in any sample. Conclusions Within the limitations of this study, both tested materials yielded equivalent results in terms of clinical outcome, new bone formation, and lack of immunological potential on a histological and immunohistochemical level.
Multifocal pigmented villonodular synovitis in a child A case report

Introduction: Pigmented villonodular synovitis (PVNS) is a rare, benign proliferative disorder of the synovial membrane that typically presents in adults and affects a single joint. Multifocal PVNS is very rare, particularly in childhood. We reported a rare case of multifocal PVNS affecting over 20 joints in a child. Clinical However, had no effect, the joints remained. The patient to multiple joints swelling, especially in the shoulders joints. Puncture ﬂ uid from a shoulder joint was Magnetic resonance imaging (MRI) revealed synovial thickening and hemosiderin deposition. Biopsy of joint synovium found villous nodules, the invasion of foam cells, and hemosiderin deposition. By collecting all of the evidence, the diagnosis of PVNS was con ﬁ rmed. Conclusions: PVNS was easily misdiagnosed as rheumatoid arthritis and the formal treatment was usually delayed. This case described here is the ﬁ rst case of PVNS involving such a large numbers of joints that has been reported in the literature. Abbreviations: HE = hematoxylin and eosin, MRI = magnetic resonance imaging, PVNS = pigmented villonodular synovitis.
Risk of skin cancer in patients with diabetes mellitus

AbstractIncreasing evidence suggests that certain types of cancers are more common in people with diabetes mellitus (DM). This study aimed to investigate the risk of skin cancer in patients with DM in Taiwan. In this retrospective cohort study using data from the Taiwan Longitudinal Health Insurance Research Database, the risk of developing overall skin cancer, including nonmelanoma skin cancer (NMSC) and melanoma, was compared by Poisson regression analysis and Cox regression analysis between the DM and non-DM cohorts. The DM cohort with newly diagnosed DM (n = 41,898) and a non-DM cohort were one-to-one matched by age, sex, index date, and comorbidities (coronary artery disease, hyperlipidemia, hypertension, chronic kidney disease, chronic obstructive pulmonary disease, and obesity). Compared with non-DM cohort statistically, for the people with DM aged ≥60 years, the incidence rates of overall skin cancer and NMSC were significantly higher (overall: DM/non-DM: number [n] = 99/76, incidence rate ratio [IRR] = 1.44, P = 0.02; NMSC: DM/non-DM: n = 94/66, IRR = 1.57, P = 0.005). By Cox regression analysis, the risk of developing overall skin cancer or NMSC was significantly higher after adjusting for sex, comorbidities, and overall diseases with immunosuppression status (overall: adjusted hazard ratio [AHR] = 1.46, P = 0.01; NMSC: AHR = 1.6, P = 0.003). Other significant risk factors were older males for skin cancer (overall: AHR = 1.68, P = 0.001; NMSC: AHR = 1.59, P = 0.004; melanoma: AHR = 3.25, P = 0.04), chronic obstructive pulmonary disease for NMSC (AHR = 1.44, P = 0.04), and coronary artery disease for melanoma (AHR = 4.22, P = 0.01). The risk of developing melanoma was lower in the DM cohort than in the non-DM cohort, but without significance (AHR = 0.56, P = 0.28; DM/non-DM: n = 5/10). The incidence rate and risk of developing overall skin cancer, including NMSC, was significantly higher in older adults with DM. Other significant risk factors for older adults with DM were males for NMSC and melanoma, chronic obstructive pulmonary disease for NMSC, and coronary artery disease for melanoma.
Development and Characterisation of Gastroretentive Solid Dosage Form Based on Melt Foaming

Dosage forms with increased gastric residence time are promising tools to increase bioavailability of drugs with narrow absorption window. Low-density floating formulations could avoid gastric emptying; therefore, sustained drug release can be achieved. Our aim was to develop a new technology to produce low-density floating formulations by melt foaming. Excipients were selected carefully, with the criteria of low gastric irritation, melting range below 70°C and well-known use in oral drug formulations. PEG 4000, Labrasol and stearic acid type 50 were used to create metronidazole dispersion which was foamed by air on atmospheric pressure using in-house developed apparatus at 53°C. Stearic acid was necessary to improve the foamability of the molten dispersion. Additionally, it reduced matrix erosion, thus prolonging drug dissolution and preserving hardness of the moulded foam. Labrasol as a liquid solubiliser can be used to increase drug release rate and drug solubility. Based on the SEM images, metronidazole in the molten foam remained in crystalline form. MicroCT scans with the electron microscopic images revealed that the foam has a closed-cell structure, where spherical voids have smooth inner wall, they are randomly dispersed, while adjacent voids often interconnected with each other. Drug release from all compositions followed Korsmeyer-Peppas kinetic model. Erosion of the matrix was the main mechanism of the release of metronidazole. Texture analysis confirmed that stearic acid plays a key role in preserving the integrity of the matrix during dissolution in acidic buffer. The technology creates low density and solid matrix system with micronsized air-filled voids.
A Low Complexity Channel Estimation Technique for NB-IoT Downlink System

3GPP introduced Narrow-Band Internet of Things (NB-IoT) in release-13 with a special feature to work with only 180 kHz bandwidth. Effective channel estimation is highly important for adequate receiver performance of NB-IoT system. Linear Minimum Mean Square Error (LMMSE) technique is very effective for estimating the channel condition but possesses high complexity. Singular value decomposition (SVD) and splitting the channel autocorrelation matrix into several submatrices reduces the complexity of LMMSE technique. In this paper, we propose a modified low complexity and computationally efficient LMMSE estimator by linking the advantages of both techniques stated above with overlap banded technique in channel autocorrelation matrix for NB-IoT downlink (in-band) system. In the proposed technique, subdivided channel autocorrelation matrices are overlapped among them and hence reduces complexity. Simulation results show that by dint of negligible degradation of performance, the complexity is significantly reduced.
Cybersecurity Experimentation at Program Scale: Guidelines and Principles for Future Testbeds

Cybersecurity Experimentation is often viewed narrowly in terms of a single technology or experiment. This paper reviews the experimentation life-cycle for two large scale research efforts that span multiple technologies. We identify salient aspects of each cybersecurity program, and capture guidelines based on eight years of experience. Extrapolating, we identify four principles for building future experimental infrastructure: 1) Reduce the cognitive burden on experimenters when designing and operating experiments. 2) Allow experimenters to encode their goals and constraints. 3) Provide flexibility in experimental design. 4) Provide multifaceted guidance to help experimenters produce high-quality experiments. By following these principles, future cybersecurity testbeds can enable significantly higherquality experiments.
Virtual Garment Using Joint Landmark Prediction and Part Segmentation

We present a novel approach that constructs 3D virtual garment models from photos. Our approach only requires two images as input, one front and one back. We first apply a multi-task learning network that jointly predicts fashion landmarks and parses a garment image into semantic parts. The predicted landmarks are used for deforming a template mesh to generate 3D garment model. The semantic parts are utilized for extracting color textures for the model.
Multi-port Filtering Power Dividing Networks

Multi-port filtering power dividing networks have been applied widely in modern communication systems due to their high integration level by fusing filtering function and power dividing function into one component. The reported filtering power dividing networks are realized by using filters cascading to power dividing network or using the two identical filtering structures symmetrically coupled to one input feed line, which always suffer from large circuit size. In this paper, three different methods for size reduction are reviewed, summarized and compared with each other, such as utilizing filtering structures to replace the quarter-wavelength transmission structures of power dividing network, using couplings between the four resonators formed in a ring-type coupling topology, as well as employing one filtering structure coupled with input/output feed lines. Each method is demonstrated by one specific case.
Toward a Trustless Smart City: the #SmartME Experience

A Smart City is an example of a domain where citizens and institutions, at any level, should be empowered by actually decentralizing any mechanism and process that can escape single-authority control and the grip of centrally-managed bureaucracies, while at the same time not relying on any single party trusting any other. In line with this key insight, in this paper, we have designed and implemented a decentralized, trustless system for (environmental) sensing data acquisition, storage, and consumption, in the context of a real-world Smart City deployment and with the participation of independent, institutional, stakeholders. This Open Data system has been extended with an end-user wizard for user-friendly and trustless (i.e., independent) data audit. The acquisition layer requires nodes to authenticate when sending readings. Last but not least, the storage layer is again trustless, as institutions can pool together their resources, without trusting one another, nor entrusting the administration of the system to any third party.
A Deep Learning Framework for Decoding Motor Imagery Tasks of the Same Hand Using EEG Signals

This study aims to increase the control’s dimensions of the electroencephalography (EEG)-based brain-computer interface (BCI) systems by distinguishing between the motor imagery (MI) tasks associated with fine body-parts of the same hand, such as the wrist and fingers. This in turn can enable individuals who are suffering from transradial amputations to better control prosthetic hands and to perform various dexterous hand tasks. In particular, we present a novel three-stage framework for decoding MI tasks of the same hand. The three stages of the proposed framework are the input, feature extraction, and classification stages. At the input stage, we employ a quadratic time-frequency distribution (QTFD) to analyze the EEG signals in the joint time-frequency domain. The use of a QTFD enables to transform the EEG signals into a set of two-dimensional (2D) time-frequency images (TFIs) that describe the distribution of the energy encapsulated within the EEG signals in terms of the time, frequency, and electrode position. At the feature extraction stage, we design a new convolutional neural network (CNN) architecture that can automatically analyze and extract salient features from the TFIs created at the input stage. Finally, the features obtained at the feature extraction stage are passed to the classification stage to assign each input TFI to one of the eleven MI tasks that are considered in the current study. The performance of our proposed framework is evaluated using EEG signals that were acquired from eighteen able-bodied subjects and four transradial amputated subjects while performing eleven MI tasks within the same hand. The average classification accuracies obtained for the able-bodied and transradial amputated subjects are 73.7% and 72.8%, respectively. Moreover, our proposed framework yields 14.5% and 11.2% improvements over the results obtained for the able-bodied and transradial amputated subjects, respectively, using conventional QTFD-based handcrafted features and a multi-class support vector machine classifier. The results demonstrate the efficacy of the proposed framework to decode the MI tasks associated with the same hand for able-bodied and transradial amputated subjects.