Miracle-dz/UniFAR-FTUs huggingface dataset:
Chimeric Antigen Receptor-T Cell Therapy for Lymphoma: New Settings and Future Directions

Simple Summary Despite the impressive efficacy of chimeric antigen receptor-T (CAR-T) cell therapy in the treatment of some subtypes of lymphomas, many patients are either not eligible or relapse after treatment. Thus, great efforts are being made to further improve the depth and durability of clinical responses, as well as to expand the settings in which CAR-T cells can be employed. The present review aims to summarize those efforts, offering an overview of recent advances and future perspectives in the field. Abstract In the last decade, anti-CD19 CAR-T cell therapy has led to a treatment paradigm shift for B-cell non-Hodgkin lymphomas, first with the approval for relapsed/refractory (R/R) large B-cell lymphomas and subsequently for R/R mantle cell and follicular lymphoma. Many efforts are continuously being made to extend the therapeutic setting in the lymphoma field. Several reports are supporting the safety and efficacy of CAR-T cells in patients with central nervous system disease involvement. Anti-CD30 CAR-T cells for the treatment of Hodgkin lymphoma are in development and early studies looking for the optimal target for T-cell malignancies are ongoing. Anti-CD19/CD20 and CD19/CD22 dual targeting CAR-T cells are under investigation in order to increase anti-lymphoma activity and overcome tumor immune escape. Allogeneic CAR product engineering is on the way, representing a rapidly accessible ‘off-the-shelf’ and potentially more fit product. In the present manuscript, we will focus on recent advances in CAR-T cell therapy for lymphomas, including new settings and future perspectives in the field, reviewing data reported in literature in the last decade up to October 2023.
Geography and Politics in a World Divided

useful not 'traditional' issues resistance introducing basic a clear and concise The short are accessible and well supplemented with pertinent the be very useful in a supplemental capacity, full of information that would be useful for an or early graduate forms part of an innovative set of companion texts for the human geography subdisciplines. Organized around 20 short essays, Key Concepts in Political Geography provides a cutting-edge introduction to the central concepts that define contemporary research in the field. Involving detailed yet expansive discussions, the book includes: An introductory chapter providing a succinct overview of the recent developments in the field Over 20 key concept entries covering the expected staples of the sub-discipline, such as nationalism, territoriality, scale and political-economy, as well as relatively new to the field including the other, anti-statism, gender, and post-conflict A glossary, figures, diagrams and further reading. It is essential reading for undergraduate and postgraduate students of political geography. a unique, integrative perspective on the political and ecological processes shaping landscapes and resource use across the global North and South. Twelve carefully selected case studies demonstrate how contemporary geographical theories and methods can contribute to understanding key environment-and-development issues and working toward effective policies. water and biodiversity resources, urban and national resource planning, scientific concepts of resource management, and ideas of nature and conservation in the context of globalization. Giving particular attention to evolving conceptions of nature-society interaction and geographical scale, an introduction and conclusion by the provide a clear analytical for the and summarize important developments and debates in the field. to power space relations. highland mega-cities to isolated rural political geographies of lives, localities, cities and rurality generalizations. critical human geography similarities, difference sophisticated human geographies.
Fibrin Glue versus Staple for Mesh Fixation in Laparoscopic Fibrin Glue versus Staple for Mesh Fixation in Laparoscopic Transabdominal Preperitoneal Repair of Inguinal Hernia Transabdominal Preperitoneal Repair of Inguinal Hernia

Background: Inguinal hernias are the most frequent type of hernia, accounting for 90% of all hernias. Furthermore, inguinal hernia surgery is the most common operation in general surgery. Aim of the work: To evaluate the results of mesh fixation by fibrin glue versus staple in laparoscopic TAPP repair of inguinal hernia. Patients and methods: This was a prospective randomized study included 40 adult patients of different age group presented with unilateral inguinal hernia who admitted and undergoing laparoscopic transabdominal preperitoneal inguinal hernia repair with mesh fixation divided into 2 equal groups group I involved 20 patients who underwent mesh fixation by fibrin glue, while group II involved 20 patients who underwent mesh fixation by staples. All patients were followed up at 1 month and 3-month intervals as outpatients, in order that early and late complications such as seroma, hematoma, infection, testicle edema, orchitis, hydrocele of the sac remnant and hernia recurrence could be assessed. Results: This research included forty individuals ranging in age from 18 to 55 years. Operative time was comparable between both groups. Considering intraoperative complication, there was one case in group II had intraoperative surgical emphysema and oozing of blood during dissection. There was no significant difference between both groups as regard to operative time and intraoperative complication. Regarding postoperative pain in group, I and II, there 2 (10%) and 9 (45%) patients presented with mild pain, respectively while 2 (10%) patients presented with severe pain in group II only with high significant difference between both groups (p=0.00). However, there was no significant difference between the two groups as regard to hospital stay, postoperative wound infection and recurrence. Conclusion: Mesh fixation using fibrin glue is preferable to staples because it generates less post surgery pain and requires less analgesia.
3D soil hydraulic database of Europe at 250 m resolution

Soil hydraulic properties are required in various modelling schemes. We propose a consistent spatial soil hydraulic database at 7 soil depths up to 2 m calculated for Europe based on SoilGrids250m and 1 km datasets and pedotransfer functions trained on the European Hydropedological Data Inventory. Saturated water content, water content at field capacity and wilting point, saturated hydraulic conductivity and Mualem‐van Genuchten parameters for the description of the moisture retention, and unsaturated hydraulic conductivity curves have been predicted. The derived 3D soil hydraulic layers (EU‐SoilHydroGrids ver1.0) can be used for environmental modelling purposes at catchment or continental scale in Europe. Currently, only EU‐SoilHydroGrids provides information on the most frequently required soil hydraulic properties with full European coverage up to 2 m depth at 250 m resolution.
Purdue e-Pubs Purdue e-Pubs

: Groundwater management and protection has been facilitated by computational modeling of aquifer vulnerability and monitoring aquifers using groundwater sampling. The DRASTIC (Depth to water, Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone media, and hydraulic Conductivity) model, an overlay and index GIS model, has been used for groundwater quality assessment because it relies on simple, straightforward methods. Aquifer vulnerability mapping identifies areas with high pollution potential that can be areas for priority management and monitoring. The objectives of this study are to demonstrate how aquifer vulnerability assessment can be achieved using DRASTIC with high resolution data. This includes calibrating DRASTIC weights using a binary classifier calibration method with a genetic algorithm (Bi-GA), identifying areas of high potential aquifer vulnerability, and selecting potential aquifer monitoring sites using spatial statistics. The aquifer vulnerability results from DRASTIC using Bi-GA were validated with a well database of observed nitrate concentrations for a study area in Indiana. The DRASTIC results using Bi-GA showed that approximately 42.2% of nitrate detections >2 ppm are within “High” and “Very high” vulnerability areas (representing 3.4% of study area) as simulated by DRASTIC. Moreover, 53.4% of the nitrate detections were within the “Moderate” vulnerability class (26.9% of study area), and only 4.3% of the nitrate detections were within the “Low” vulnerability class (60.1% of study area). Nitrates > 2 ppm were not detected at all within the “Very low” vulnerability class (9.6% of area). “High” and “Very high” vulnerability areas should be regarded as priority areas for groundwater monitoring and efforts to prevent groundwater contamination. This case study suggests that the approach may be applicable to other areas as part of efforts to target groundwater management efforts.
Industrial Robots and Fertility Timing in Europe ∗

This paper links the eﬀects that automation has on labor to fertility timing decisions. The intuition behind such a relation is formalized by an optimal stopping model of fertility, where having a child is viewed as an investment. Its opportunity cost is modeled as a stochastic process, which changes are due to the displacement and productivity eﬀects of automation, the ﬁrst being assumed to concern routine workers the most. The model suggests that labor automation increases the value of waiting to have children for agents with a medium level of education, while it decreases it for those at the extremes of the education distribution. European panel data at the regional level are then used to give empirical support to the theoretical predictions, by constructing a measure of local exposure to industrial robotics. Higher exposure is associated with a postponement of fertility in regional labor markets with a high share of women with secondary education, and with an anticipation of it in regions with a prevalence of women with either primary or tertiary education.
Impact of Symptomatology, Clinical and Radiological Severity of COVID-19 on Pulmonary Function Test Results and Functional Capacity during Follow-Up among Survivors

One of the most commonly observed complications after COVID-19 is persistent pulmonary impairment. The aim of this study was to evaluate the impact of individual factors during the acute phase of COVID-19 on subsequent pulmonary function test results. The study involved 46 patients who were admitted to hospital due to respiratory failure caused by SARS-CoV-2 and who were assessed during follow-up visits at 3 and 9 months after discharge. Patients were divided into two subgroups according to the severity of respiratory failure. The severe group included patients requiring mechanical ventilation or HFNOT. The results of the study showed that a severe course of the disease was associated with a lower FVC and a higher FEV1/FVC ratio 3 months after discharge (both p < 0.05). In addition, it has been revealed that the length of hospitalization is a factor that negatively impacts the FEV1, FVC and TLC values measured at follow-up after 3 months. Furthermore, the obtained results identify the presence of cough in the acute phase of the disease as a factor having a positive impact on several PFT parameters (especially the FEV1/FVC ratio) as well as the 6MWT outcome after 3 months. The FVC improved significantly (p < 0.05) between the follow-up visits. The findings may indicate that COVID-19-induced respiratory dysfunction is usually temporary and spontaneously resolves during recovery. Recovery is slower in those who required more intensive oxygenation. The results of this study may be useful in identifying patients who require more intensive and longer rehabilitation after COVID-19.
Agents to reduce cytokine storm [version 1; peer review: 3 approved]

The increasing insight into pathomechanisms of dysregulated host response in several inflammatory diseases led to the implementation of the term “cytokine storm” in the literature more than 20 years ago. Direct toxic effects as well as indirect immunomodulatory mechanisms during cytokine storm have been described and were the basis for the rationale to use several substances and devices in life-threatening infections and hyperinflammatory states. Clinical trials have been performed, most of them in the form of minor, investigator-initiated protocols; major clinical trials focused mostly on sepsis and septic shock. The following review tries to summarize the background, pathophysiology, and results of clinical investigations that had implications for the development of therapeutic strategies and international guidelines for the management of hyperinflammation during syndromes of cytokine storm in adult patients, predominantly in septic shock.
Evaluating the representativeness of the Setswana corpus using behavioural data

This paper presents efforts to evaluate the representativeness of the Setswana corpus data with measures that are independent of corpora. Two frequency measures were used: one sourced via a subjective frequency rating survey and another from a corpus of Setswana. Strong correlations (r =.75; p<.001) between survey ratings and corpus frequencies suggest that the corpus reflects native speaker intuitions. In addition, the study tested for frequency effects using an unprimed visual lexical decision task where participants had to judge whether a letter string on a screen is an existing word or a made-up non-word. In the analysis of reaction times, survey ratings and corpus frequencies were found to have similar correlations with reaction times, although survey ratings provided a better fit. Our study therefore makes a methodological contribution as results illustrate that in the absence of established corpus databases, participant intuitions can be used in linguistic research. This observation concurs with previous research on European languages that found that native speakers can reliably estimate the frequencies of words.
Review of “Comparisons between the distributions of dust and combustion aerosols in MERRA-2, FLEXPART and CALIPSO and implications for deposition freezing over wintertime Siberia”

In this well-written manuscript, the authors offer several interesting comparisons between models (MERRA2 and FLEXPART) and observations (CALIPSO). But because they confine themselves to “qualitative comparisons”, these comparisons are somewhat less informative than I had hoped when I first agreed to review the paper. I was particularly disappointed by the lack of a quantitative assessment of CALIPSO’s propensity to misclassify diamond dust as mineral dust. Nevertheless, I believe the authors’ results will be helpful in understanding the limits of both measurements and models in the Arctic environment. That being the case, I’m happy to recommend publication once the authors address the comments embedded in the annotated version of their manuscript appended below. Abstract. Aerosol distributions have a potentially large influence on climate-relevant cloud properties but can be difficult to 10 observe over the Arctic given pervasive cloudiness, long polar nights, data paucity over remote regions, and periodic diamond dust events that satellites can misclassify as aerosol. We compared Arctic 2008-2015 mineral dust and combustion aerosol distributions from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite, the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis products, and the FLEX-ible PARTicle (FLEXPART) model. Based on Atmospheric Infrared Sounder (AIRS) satellite meteorological data, diamond dust 15 may occur up to 60% of the time in winter, but it hardly ever occurs in summer. In its absence, MERRA-2 and FLEXPART each predict the vertical distribution of combustion aerosols with relatively high confidence, as does FLEXPART for mineral dust. Comparisons to ground and satellite data suggest that MERRA-2 Arctic dust concentrations can be improved by the addition of local dust sources. Apparent false negative rates compared to lidar were substantially higher in conditions favouring diamond dust formation for both MERRA-2 and FLEXPART, as would be expected if CALIPSO were misclassifying diamond 20 dust as mineral dust aerosols. All three products predicted that wintertime dust and combustion aerosols occur most frequently over the same Siberian regions where diamond dust is most common in the winter. This suggests that aerosol impacts on ice phase processes may be particularly high over Siberia, although further wintertime model validation with non-CALIPSO observations is needed. This assessment paves the way for applying the model-based aerosol simulations to a range of regional-scale Arctic aerosol-cloud interaction studies. and saturation vapor pressure with respect to ice ( ! " ) were calculated from the AIRS T values based on the Murphy
Urogenital Chlamydiosis in Adolescents: Risk Factors and Knowledge regarding Sexually Transmitted Infections

Objective − To investigate the characteristics and individual risk factors for chlamydia infection, as well as the knowledge about sexually transmitted infections (STIs) of sexually active women under 18 years of age who have had intercourse without a condom at least once.Methods − Adolescent girls aged 14 to 17 when attending a gynecologist filled in the questionnaire about their reproductive data and knowledge regarding STIs; they also stated where they had been tested for chlamydia infection.Results − 101 patients were included in the study. Less effective methods of contraception were used by 73.2% of the study participants. None of the study participants could correctly identify all named STIs. 15 (14.9%) of the study participants were diagnosed with chlamydia infection.Conclusions − The study found that many sexually active women under 18 years of age in Latvia use less effective contraception methods and have limited knowledge regarding STIs. The number of sexual partners per lifetime was found to be a risk factor for chlamydia infection.
Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling

Abstract. Ammonia (NH3), a significant precursor of particulate matter, affects not only biodiversity, ecosystems, and soil acidification but also climate and human health. In addition, its concentrations are constantly rising due to increasing feeding needs and the large use of fertilization and animal farming. Despite the significance of ammonia, its emissions are associated with large uncertainties, while its atmospheric abundance is difficult to measure. Nowadays, satellite products can effectively measure ammonia with low uncertainty and a global coverage. Here, we use satellite observations of column ammonia in combination with an inversion algorithm to derive ammonia emissions with a high resolution over Europe for the period 2013–2020. Ammonia emissions peak in northern Europe due to agricultural application and livestock management, in western Europe (industrial activity), and over Spain (pig farming). Emissions have decreased by −26 % since 2013 (from 5431 Gg in 2013 to 3994 Gg in 2020), showing that the abatement strategies adopted by the European Union have been very efficient. The slight increase (+4.4 %) in 2015 is also reproduced here and is attributed to some European countries exceeding annual emission targets. Ammonia emissions are low in winter (286 Gg) and peak in summer (563 Gg) and are dominated by the temperature-dependent volatilization of ammonia from the soil. The largest emission decreases were observed in central and eastern Europe (−38 %) and in western Europe (−37 %), while smaller decreases were recorded in northern (−17 %) and southern Europe (−7.6 %). When complemented with ground observations, modelled concentrations using the posterior emissions showed improved statistics, also following the observed seasonal trends. The posterior emissions presented here also agree well with respective estimates reported in the literature and inferred from bottom-up and top-down methodologies. These results indicate that satellite measurements combined with inverse algorithms constitute a robust tool for emission estimates and can infer the evolution of ammonia emissions over large timescales.
A Case Example of Integrating Team-Based and Problem-Based Learning in Sex Therapy Courses in the U.S. and Austria

Introduction: Team-based learning and Problem-Based Learning can be integrated for in person and online psychology or behavioral health related courses in higher education. Statement of the Problem: Historically, team-based learning and problem-based learning have been considered separate (and seemingly competing) activities and not often conducted concurrently during a course. Literature Review: A review of the literature on team-based learning, however, has uncovered some cases where team-based learning and problem-based learning were integrated together in a course. Teaching Implications: The purpose of this article is to present a case example in which team-based learning and problem-based learning were integrated together in two master’s level sex therapy courses: one in the U.S. and one in Austria. The article describes how this integration was achieved through outlining the activities of the class and the possible benefits seen based on self-report. Conclusion: Integrating team-based learning and problem-based learning was an effective method for teaching two master’s level sex therapy courses and may have relevant application to psychology classes and/or treatment-oriented topics in behavioral health.
Study Protocol The Effects of a Home Personal Computer-based Auditory Training Program on the Binaural Listening Skills of Children With Specific Learning Disability: A Protocol for a Randomized Clinical Trial

Background and Objectives: A high prevalence of central auditory processing disorders has been reported in children with learning disabilities. One of the crucial auditory processing disorders in these children is a binaural processing problem. Binaural hearing leads to improved auditory performance in noisy situations. This research aims to develop an auditory training program based on binaural interaction at the brainstem level and to investigate its effect on the binaural listening skills of children with a specific learning disability. Methods: After developing the rehabilitation program and determining its validity, this intervention study is conducted in three stages. The first stage includes baseline assessments, the second stage includes the implementation of rehabilitation intervention and the third stage consists of the re-implementation of the tests of the first stage once immediately after intervention and then once after 45 days of training. Masking level differences (MLD), Persian auditory recognition of words in noise (PARWIN), and binaural speech-auditory brainstem response (Speech-ABR) tests are the primary outcome measures. Persian randomized dichotic digits test (PRDDT), Persian pediatric competing word test (PPCWT), Persian pediatric competing sentences test (PPCST), and Persian version of the auditory processing disorder questionnaire (APDQ-P) were included as secondary outcome measures. The sample size in each intervention and control group was 15 people and the duration of training was 3 months. Conclusion: Considering the importance of brainstem function in binaural hearing, it is recommended to investigate the effectiveness of the developed binaural interaction training program in improving hearing in background noise in children with specific learning disabilities.