Miracle-dz/UniFAR-FTUs huggingface dataset:
The Perspective of Dysregulated LncRNAs in Alzheimer's Disease: A Systematic Scoping Review

LncRNAs act as part of non-coding RNAs at high levels of complex and stimulatory configurations in basic molecular mechanisms. Their extensive regulatory activity in the CNS continues on a small scale, from the functions of synapses to large-scale neurodevelopment and cognitive functions, aging, and can be seen in both health and disease situations. One of the vast consequences of the pathological role of dysregulated lncRNAs in the CNS due to their role in a network of regulatory pathways can be manifested in Alzheimer's as a neurodegenerative disease. The disease is characterized by two main hallmarks: amyloid plaques due to the accumulation of β-amyloid components and neurofibrillary tangles (NFT) resulting from the accumulation of phosphorylated tau. Numerous studies in humans, animal models, and various cell lines have revealed the role of lncRNAs in the pathogenesis of Alzheimer's disease. This scoping review was performed with a six-step strategy and based on the Prisma guideline by systematically searching the publications of seven databases. Out of 1,591 records, 69 articles were utterly aligned with the specified inclusion criteria and were summarized in the relevant table. Most of the studies were devoted to BACE1-AS, NEAT1, MALAT1, and SNHG1 lncRNAs, respectively, and about one-third of the studies investigated a unique lncRNA. About 56% of the studies reported up-regulation, and 7% reported down-regulation of lncRNAs expressions. Overall, this study was conducted to investigate the association between lncRNAs and Alzheimer's disease to make a reputable source for further studies and find more molecular therapeutic goals for this disease.
Recommendations for Infantile-Onset and Late-Onset Pompe Disease: An Iranian Consensus

Background: Pompe disease, also denoted as acid maltase or acid α-glucosidase deficiency or glycogen storage disease type II, is a rare, autosomal recessive lysosomal storage disorder. Several reports have previously described Pompe disease in Iran and considering increased awareness of related subspecialties and physicians, the disease's diagnosis is growing. Objective: This guideline's main objective was to develop a national guideline for Pompe disease based on national and international evidence adapting with national necessities. Methods: A group of expert clinicians with particular interests and experience in diagnosing and managing Pompe disease participated in developing this guideline. This group included adult neurologists, pediatric neurologists, pulmonologists, endocrinologists, cardiologists, pathologists, and physiatrists. After developing search terms, four authors performed an extensive literature review, including Embase, PubMed, and Google Scholar, from 1932 to current publications before the main meeting. Before the main consensus session, each panel member prepared an initial draft according to pertinent data in diagnosis and management and was presented in the panel discussion. Primary algorithms for the diagnosis and management of patients were prepared in the panel discussion. The prepared consensus was finalized after agreement and concordance between the panel members. Conclusion: Herein, we attempted to develop a consensus based on Iran's local requirements. The authors hope that disseminating these consensuses will help healthcare professionals in Iran achieve the diagnosis, suitable treatment, and better follow-up of patients with infantile-onset Pompe disease and late-onset Pompe disease.
Biogeography Meets Niche Modeling: Inferring the Role of Deep Time Climate Change When Data Is Limited

Geographic range shifts are one major organism response to climate change, especially if the rate of climate change is higher than that of species adaptation. Ecological niche models (ENM) and biogeographic inferences are often used in estimating the effects of climatic oscillations on species range dynamics. ENMs can be used to track climatic suitable areas over time, but have often been limited to shallow timescales; biogeographic inference can reach greater evolutionary depth, but often lacks spatial resolution. Here, we present a simple approach that treats them as independent and complementary sources of evidence, which, when used in partnership, can be employed to reconstruct geographic range shifts over deep evolutionary timescales. For testing this, we chose two extreme African disjunctions: Camptoloma (Scrophulariaceae) and Canarina (Campanulaceae), each comprising of three species disjunctly distributed in Macaronesia and eastern/southern Africa. Using inferred ancestral ranges in tandem with preindustrial and paleoclimate ENM hindcastings, we show that the disjunct pattern was the result of fragmentation and extinction events linked to Neogene aridification cycles. Our results highlight the importance of considering temporal resolution when building ENMs for rare endemics with small population sizes and restricted climatic tolerances such as Camptoloma, for which models built on averaged monthly variables were more informative than those based on annual bioclimatic variables. Additionally, we show that biogeographic information can be used as truncation threshold criteria for building ENMs in the distant past. Our approach is suitable when there is sparse sampling on species occurrences and associated patterns of genetic variation, such as in the case of ancient endemics with widely disjunct distributions as a result of climate change.
Procedures for Fecal Microbiota Transplantation in Murine Microbiome Studies

Fecal microbiota transplantation (FMT) has been widely recognized as an approach to determine the microbiome’s causal role in gut dysbiosis-related disease models and as a novel disease-modifying therapy. Despite potential beneficial FMT results in various disease models, there is a variation and complexity in procedural agreement among research groups for performing FMT. The viability of the microbiome in feces and its successful transfer depends on various aspects of donors, recipients, and lab settings. This review focuses on the technical practices of FMT in animal studies. We first document crucial factors required for collecting, handling, and processing donor fecal microbiota for FMT. Then, we detail the description of gut microbiota depletion methods, FMT dosages, and routes of FMT administrations in recipients. In the end, we describe assessments of success rates of FMT with sustainability. It is critical to work under the anaerobic condition to preserve as much of the viability of bacteria. Utilization of germ- free mice or depletion of recipient gut microbiota by antibiotics or polyethylene glycol are two common recipient preparation approaches to achieve better engraftment. Oral-gastric gavage preferred by most researchers for fast and effective administration of FMT in mice. Overall, this review highlights various methods that may lead to developing the standard and reproducible protocol for FMT.
A Coagulation-Related Gene-Based Prognostic Model for Invasive Ductal Carcinoma

Background: Invasive ductal carcinoma (IDC) is the most common type of metastatic breast cancer. Due to the lack of valuable molecular biomarkers, the diagnosis and prognosis of IDC remain a challenge. A large number of studies have confirmed that coagulation is positively correlated with angiogenesis-related factors in metastatic breast cancer. Therefore, the purpose of this study was to construct a COAGULATION-related genes signature for IDC using the bioinformatics approaches. Methods: The 50 hallmark gene sets were obtained from the molecular signature database (MsigDB) to conduct Gene Set Variation Analysis (GSVA). Gene Set Enrichment Analysis (GSEA) was applied to analyze the enrichment of HALLMARK_COAGULATION. The COAGULATION-related genes were extracted from the gene set. Then, Limma Package was used to identify the differentially expressed COAGULATION-related genes (DECGs) between ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) samples in GSE26340 data set. A total of 740 IDC samples from The Cancer Genome Atlas (TCGA) database were divided into a training set and a validation set (7:3). The univariate and multivariate Cox regression analyses were performed to construct a risk signature, which divided the IDC samples into the high- and low-risk groups. The overall survival (OS) curve and receiver operating characteristic (ROC) curve were drawn in both training set and validation set. Finally, a nomogram was constructed to predict the 1-, 2-, 3-, 4-, and 5-year survival rates of IDC patients. Quantitative real-time fluorescence PCR (qRT-PCR) was performed to verify the expression levels of the prognostic genes. Results: The “HALLMARK_COAGULATION” was significantly activated in IDC. There was a significant difference in the clinicopathological parameters between the DCIS and IDC patients. Twenty-four DECGs were identified, of which five genes (SERPINA1, CAPN2, HMGCS2, MMP7, and PLAT) were screened to construct the prognostic model. The high-risk group showed a significantly lower survival rate than the low-risk group both in the training set and validation set (p=3.5943e-06 and p=0.014243). The risk score was demonstrated to be an independent predictor of IDC prognosis. A nomogram including risk score, pathological_stage, and pathological_N provided a quantitative method to predict the survival probability of 1-, 2-, 3-, 4-, and 5-year in IDC patients. The results of decision curve analysis (DCA) further demonstrated that the nomogram had a high potential for clinical utility. Conclusion: This study established a COAGULATION-related gene signature and showed its prognostic value in IDC through a comprehensive bioinformatics analysis, which may provide a potential new prognostic mean for patients with IDC.
Intracellular Properties of Deep-Layer Pyramidal Neurons in Frontal Eye Field of Macaque Monkeys

Although many details remain unknown, several positive statements can be made about the laminar distribution of primate frontal eye field (FEF) neurons with different physiological properties. Most certainly, pyramidal neurons in the deep layer of FEF that project to the brainstem carry movement and fixation signals but clear evidence also support that at least some deep-layer pyramidal neurons projecting to the superior colliculus carry visual responses. Thus, deep-layer neurons in FEF are functionally heterogeneous. Despite the useful functional distinctions between neuronal responses in vivo, the underlying existence of distinct cell types remain uncertain, mostly due to methodological limitations of extracellular recordings in awake behaving primates. To substantiate the functionally defined cell types encountered in the deep layer of FEF, we measured the biophysical properties of pyramidal neurons recorded intracellularly in brain slices issued from macaque monkey biopsies. Here, we found that biophysical properties recorded in vitro permit us to distinguish two main subtypes of regular-spiking neurons, with, respectively, low-resistance and low excitability vs. high-resistance and strong excitability. These results provide useful constraints for cognitive models of visual attention and saccade production by indicating that at least two distinct populations of deep-layer neurons exist.
Cognitive Motivation as a Resource for Affective Adjustment and Mental Health

Background: Depressive symptoms compromise cognitive and self-regulating capacities. Overcoming associated deficits (e.g., attentional bias) demands cognitive effort and motivation. Previous studies on healthy individuals have found cognitive motivation to positively relate to self-regulation and negatively to depressive symptoms. A test of these associations in a clinical sample is lacking. Methods: We assessed cognitive motivation, self-regulation and depressive symptoms by means of well-validated questionnaires in N = 1,060 psychosomatic rehabilitation in-patients before and after treatment. Data were split and analyzed in two steps: We tested previously reported cross-sectional and longitudinal associations of all variables as well as their longitudinal changes in a first sample. Afterward, findings and derived hypotheses were replicated and tested in a second sample. Results: Analyses of both samples confirmed earlier reports on positive associations between cognitive motivation and self-regulation, and negative associations of both with depressive symptoms. While the change in all variables was predicted by their baseline scores, higher baseline cognitive motivation was found to predict stronger improvements in self-regulation, and lower baseline depression scores to predict smaller changes in cognitive motivation and self-regulation. In addition, the change in cognitive motivation partially mediated the association between the changes in depressive symptoms and self-regulation. Conclusion: Based on a large longitudinal data set, the present study expands previous findings and suggests a resource allocation model in which decreasing depressive symptoms lead to a release of capacities benefitting self-regulation directly, and indirectly via cognitive motivation.
Praxistaugliche Indoor-Navigation für Smartphones auf Grundlage einer messtechnischen Untersuchung / Practical Indoor Navigation for Smartphones Based on a Metrological Investigation

Zusammenfassung: Indoor-Positionierung und Navigation für bestimmte Gebäude, z. B. im öffentli-chen Bereich, ist eine aktuelle Anforderung an viele Gebäudebetreiber. Da satellitenbasierte Technolo-gie, die unter freiem Himmel langjährig erforscht, erprobt und praktisch eingesetzt ist, im Gebäudein-neren praktisch nicht zu Verfügung steht, werden schon seit einigen Jahren andere technologische Her-angehensweisen analysiert und prototypisch eingesetzt. Der am häufigsten verwendete Ansatz ist der Einsatz von Bluetooth Beacons. Dieser Beitrag zeigt auf Basis einer messtechnischen Untersuchung Schwächen dieser Methodik und schlägt einen alternativen Ansatz mithilfe des Pedestrian Dead Reckoning, unterstützt durch Bluetooth Beacons und das verwendete Navigationsmodell vor. Die Ergebnisse werden in einem prototypischen Indoor-Navigationssystem gezeigt. Ferner wird ein Ausblick gegeben, wie Methode und Technologie weiter verbessert werden können.
Quality-related locally weighted soft sensing for non-stationary processes by a supervised Bayesian network with latent variables

Soft sensors are widely used to predict quality variables which are usually hard to measure. It is necessary to construct an adaptive model to cope with process non-stationaries. In this study, a novel quality-related locally weighted soft sensing method is designed for non-stationary processes based on a Bayesian network with latent variables. Specifically, a supervised Bayesian network is proposed where quality-oriented latent variables are extracted and further applied to a double-layer similarity measurement algorithm. The proposed soft sensing method tries to find a general approach for non-stationary processes via quality-related information where the concepts of local similarities and window confidence are explained in detail. The performance of the developed method is demonstrated by application to a numerical example and a debutanizer column. It is shown that the proposed method outperforms competitive methods in terms of the accuracy of predicting key quality variables.
Non-ischemic cerebral enhancing lesions after intracranial aneurysm endovascular repair: a retrospective French national registry

Background Non-ischemic cerebral enhancing (NICE) lesions are exceptionally rare following aneurysm endovascular therapy (EVT). Objective To investigate the presenting features and longitudinal follow-up of patients with NICE lesions following aneurysm EVT. Methods Patients included in a retrospective national multicentre inception cohort were analysed. NICE lesions were defined, using MRI, as delayed onset punctate, nodular or annular foci enhancements with peri-lesion edema, distributed in the vascular territory of the aneurysm EVT, with no other confounding disease. Results From a pool of 58 815 aneurysm endovascular treatment procedures during the study sampling period (2006–2019), 21/37 centres identified 31 patients with 32 aneurysms of the anterior circulation who developed NICE lesions (mean age 45±10 years). Mean delay to diagnosis was 5±9 months, with onset occurring a month or less after the index EVT procedure in 10 out of 31 patients (32%). NICE lesions were symptomatic at time of onset in 23 of 31 patients (74%). After a mean follow-up of 25±26 months, 25 patients (81%) were asymptomatic or minimally symptomatic without disability (modified Rankin Scale (mRS) score 0–1) at last follow-up while 4 (13%) presented with mild disability (mRS score 2). Clinical follow-up data were unavailable for two patients. Follow-up MRI (available in 27 patients; mean time interval after onset of 22±22 months) demonstrated persistent enhancement in 71% of cases. Conclusions The clinical spectrum of NICE lesions following aneurysm EVT therapy spans a wide range of neurological symptoms. Clinical course is most commonly benign, although persistent long-term enhancement is frequent.
Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss

Intraoperative adverse events (iAEs) increase rates of postoperative mortality and morbidity. Identifying iAEs is important to quality assurance and postoperative care, but requires expertise, is time consuming, and expensive. Automated or partially-automated techniques are, therefore, desirable. Previous work showed that conventional image processing has not worked well with real-world laparoscopic videos. We present a novel modular deep learning system that can partially automate the process of iAE screening using videos of laparoscopic procedures. The system consists of a stabilizer to reduce camera motion, a spatiotemporal feature extractor, and a multi-stage temporal convolutional neural network to detect adverse events. We apply a novel focal-uncertainty smoothing loss to handle class imbalance and to address multi-task uncertainty. The system is evaluated using 5-fold cross-validation on a large (228 hours) dataset of laparoscopic videos, and we perform ablation studies to investigate the eﬀects of stabilization and focal-uncertainty loss. Our system achieves an AUROC of 0.952, an average precision (AP) of 0.626 in thermal injury detection, and an AUROC of 0.823 and an AP of 0.336 in bleeding detection. Our novel modular deep learning system outperforms conventional deep learning baselines. The model can be used as a screening tool to search for high risk events and to provide feed-back for operation quality improvements and postoperative care. Source code available on
MEANS OF COMMUNICATION BY CHINESE ENGINEERS WORKING IN GHANA by Dr. Bright Nkrumah

The increase in International Trade in Ghana has raised the alarm of multilingualism. The Chinese are leading world trade now, their companies are spreading through the whole world and Ghana is not an exception. The aim of this paper is to investigate the means of communication by Chinese engineers working in Ghana, using Twellium Industrial Company as a case study. A qualitative approach via semi-structured in-depth interviews was used for the study. Out of a population of 120, (64) participants were involved in the study to ascertain their means of communication, Both synchronous and asynchronous forms of communications were found to be employed by project team members with face to face by the translator, WeChat chatting by translating software, whatsapp chatting by translating software and non-verbal or sign language communication. Communication barriers such as lack of attention, distractions, differences in perceptions, no clear speech, use of jargons, dissemination procedures were also identified as key challenges faced by engineers at Twellium Industrial Company.
Assessment of Novel Cardiovascular biomarkers in patients with chronic heart failures

In a recent analysis, incessant heart failure (HF) stays a signi icant remedial test with decreased launch division. There is a growing need to tame HF in contemporary. In a bid to the reduction of inancial burden and mortality rate brought by chronic heart, failure medics have developed approaches to deal with situations to enhance the better living condition of people. The current study was aimed to the investigation of new cardiovascular biomarkers, for instance, development factor 15 (GDF-15), soluble suppression of tumorigenicity (sST2), heart-type fatty acid-bindingprotein (H-FABP), andurokinase plasminogen activator receptor (suPAR) in patient with dilative cardiomyopathy (DCM) or ischaemic (ICM). 200 patients from different parts were enrolled in the study for analysis of the diseases. The various test was carried out on patients who presented themselves in the lab. As the control measure in the study, they included around 76 patients without heart failure or coronary artery diseases. 59 patients who were suffering from ICM and 65 who were diagnosed with DCM were included in the study. The analysis was conducted through the use of ELISA by taking a sample of samples from all patients. HFABP, suPAR and sST2 were high in patients with DCM and ICM contrasted with the control gathering (p <0.00010). The analysis also indicated that there was no signi icant difference between DCM and ICM biomarker levels. Analysis indicates that novel cardiovascular biomarkers, for instance, GDF-15, ST2, H-FABP, and uPAR, offers high potential for diagnostic DCM and ICM patient precisely.
Designing of Tuktuk Siadong Lakeside Resort (Tropical Architecture)

Lodging in the form of resort hotels are needed in tourist areas such as Lake Toba, to provide a place to rest as well as recreational areas, Tuktuk Siadong Village is one of the villages in Simanindo District which has many recreational areas. The design of resort hotels in the area of Lake Toba must consider the characteristics of traditional buildings around, responsive to tourism potential, and responsive to the climate. These considerations are used to create a resort hotel that has it has characteristics and attracts tourists to visit and stay overnight. The method used in this design is the glass box method by collecting data related to design. The data obtained is then analyzed to find the right hotel resort concept for the design area, namely the concept of Tropical Architecture. They are designing resort hotels in this area as a form of support for government programs in advancing Lake Toba Tourism and advancing the regional economic sector.