Hiring CS Graduates: What We Learned from Employers

Computer science ( CS ) majors are in high demand and account for a large part of national computer and information technology job market applicants. Employment in this sector is projected to grow 12% between 2018 and 2028, which is faster than the average of all other occupations. Published data are available on traditional non-computer science-specific hiring processes. However, the hiring process for CS majors may be different. It is critical to have up-to-date information on questions such as “what positions are in high demand for CS majors?,” “what is a typical hiring process?,” and “what do employers say they look for when hiring CS graduates?” This article discusses the analysis of a survey of 218 recruiters hiring CS graduates in the United States. We used Atlas.ti to analyze qualitative survey data and report the results on what positions are in the highest demand, the hiring process, and the resume review process. Our study revealed that a software developer was the most common job the recruiters were looking to fill. We found that the hiring process steps for CS graduates are generally aligned with traditional hiring steps, with an additional emphasis on technical and coding tests. Recruiters reported that their hiring choices were based on reviewing resume’s experience, GPA, and projects sections. The results provide insights into the hiring process, decision making, resume analysis, and some discrepancies between current undergraduate CS program outcomes and employers’ expectations.

IoT Notary : Attestable Sensor Data Capture in IoT Environments

Contemporary IoT environments, such as smart buildings, require end-users to trust data-capturing rules published by the systems. There are several reasons why such a trust is misplaced—IoT systems may violate the rules deliberately or IoT devices may transfer user data to a malicious third-party due to cyberattacks, leading to the loss of individuals’ privacy or service integrity. To address such concerns, we propose IoT Notary , a framework to ensure trust in IoT systems and applications. IoT Notary provides secure log sealing on live sensor data to produce a verifiable “proof-of-integrity,” based on which a verifier can attest that captured sensor data adhere to the published data-capturing rules. IoT Notary is an integral part of TIPPERS, a smart space system that has been deployed at the University of California, Irvine to provide various real-time location-based services on the campus. We present extensive experiments over real-time WiFi connectivity data to evaluate IoT Notary , and the results show that IoT Notary imposes nominal overheads. The secure logs only take 21% more storage, while users can verify their one day’s data in less than 2 s even using a resource-limited device.

Assessing the undrained strength cross-anisotropy of three tailings types

The cross-anisotropic nature of soil strength has been studied and documented for decades, including the increased propensity for cross-anisotropy in layered materials. However, current engineering practice for tailings storage facilities (TSFs) does not appear to generally include cross-anisotropy considerations in the development of shear strengths. This being despite the very common layering profile seen in subaerially-deposited tailings. To provide additional data to highlight the strength cross-anisotropy of tailings, high quality block samples from three TSFs were obtained and trimmed to enable Hollow Cylinder Torsional Shear tests to be sheared at principal stress angles of 0 and 45 degrees during undrained shearing. Consolidation procedures were carried out such that the drained rotation of principal stress angle that would precede potential undrained shear events for below-slope tailings was reasonably simulated. The results indicated the significant effects of cross-anisotropy on the undrained strength, instability stress ratio, contractive tendency and brittleness of each of the three tailings types. The magnitude of cross-anisotropy effects seen was generally consistent with previous published data on sands.

Analytical Determination of the Bending Stiffness of a Five-Layer Corrugated Cardboard with Imperfections

Bending stiffness (BS) is one of the two most important mechanical parameters of corrugated board. The second is edge crush resistance (ECT). Both are used in many analytical formulas to assess the load capacity of corrugated cardboard packaging. Therefore, the correct determination of bending stiffness is crucial in the design of corrugated board structures. This paper focuses on the analytical determination of BS based on the known parameters of the constituent papers and the geometry of the corrugated layers. The work analyzes in detail the dependence of the bending stiffness of an asymmetric, five-layer corrugated cardboard on the sample arrangement. A specimen bent so that the layers on the lower wave side are compressed has approximately 10% higher stiffness value. This is due to imperfections, which are particularly important in the case of compression of very thin liners. The study showed that imperfection at the level of a few microns causes noticeable drops in bending stiffness. The method has also been validated by means of experimental data from the literature and simple numerical finite element model (FEM). The obtained compliance of the computational model with the experimental model is very satisfactory. The work also included a critical discussion of the already published data and observations of other scientists in the field.

Kinesiological Treatment of Early Spine Osteoarthritis in a Motorcyclist

This case report speculates that the prolonged vibrations from enduro off-road sports are deleterious to the spine. The results of this case report may also aid sports physicians in better understanding this complex and relatively unknown phenomenon. No published data are present in the current literature that demonstrate the correlation between early spine osteoarthritis from enduro motorcycle overuse and the long-term management effects of a non-invasive kinesiological approach to reduce pain and inflammation and improve spine mobility and muscle strength.

Teriparatide in fracture healing: Case series and review of literature

Teriparatide (TPTD) (recombinant Parathyroid Hormone 1-34) is one of the pioneer osteo-anabolic agents approved for management of osteoporosis. Being an anabolic agent, it increases bone mineral density by inducing formation of new bone by the action on osteoblasts. As new bone formation is an important aspect of fracture healing as well, Teriparatide has long been a product of interest with respect to its effect on the process of fracture healing. Though fracture healing is not an approved indication for Teriparatide, there is quite a substantial amount of published data related to its effectiveness in fracture healing. With an intent to better understand the role of teriparatide in fracture, we share few case reports of successful fracture healing after giving Teriparatide and also review the published evidences of union taking place in difficult delayed union and non-union cases secondary to mechanical instability, inadequate fixation support or other reasons. This article thus, intended to summarize the accumulating preclinical and clinical evidence for role of TPTD in accelerating fracture healing in various conditions like conservative management of fractures, vertebral fractures, non-unions, delayed unions and atypical femoral fractures.

Genotype-Phenotype Comparison in POGZ-Related Neurodevelopmental Disorders by Using Clinical Scoring

POGZ-related disorders (also known as White-Sutton syndrome) encompass a wide range of neurocognitive abnormalities and other accompanying anomalies. Disease severity varies widely among POGZ patients and studies investigating genotype-phenotype association are scarce. Therefore, our aim was to collect data on previously unreported POGZ patients and perform a large-scale phenotype-genotype comparison from published data. Overall, 117 POGZ patients′ genotype and phenotype data were included in the analysis, including 12 novel patients. A severity scoring system was developed for the comparison. Mild and severe phenotypes were compared with the types and location of the variants and the predicted presence or absence of nonsense-mediated RNA decay (NMD). Missense variants were more often associated with mild phenotypes (p = 0.0421) and truncating variants predicted to escape NMD presented with more severe phenotypes (p < 0.0001). Within this group, variants in the prolin-rich region of the POGZ protein were associated with the most severe phenotypes (p = 0.0004). Our study suggests that gain-of-function or dominant negative effect through escaping NMD and the location of the variants in the prolin-rich domain of the protein may play an important role in the severity of manifestations of POGZ–associated neurodevelopmental disorders.

RF-EMF Exposure Emitted From Mobile/cellular Phone and Risk of Glioma, Meningioma and Acoustic Neuroma: A Meta-analysis

IntroductionTo evaluate the association between mobile/cellular phone use and risk of three intracranial tumors (glioma, meningioma and acoustic neuroma) based on case-control studies through pooling the published data .MethodsWe conducted a systematic literature search in databases including PubMed, EMBASE, and the Cochrane Library up to September 2021. The primary outcome was the risk of tumors by mobile/cellular phone use, which was measured by pooling each odds ratio (OR) and its 95% confidence interval (CI). The random- or fixed-effects model was applied to combine the results depending on the heterogeneity of the analysis.ResultsWe ultimately included 6 articles for glioma, 6 articles for meningioma and 8 for acoustic neuroma from 1999 to 2015 . There was no significant association between mobile/cellular phone use and risk of glioma (OR, 0.98; 95% CI, 0.81-1.17; I²=76.9%, p=0.001) and acoustic neuroma (OR, 0.98; 95% CI, 0.76-1.25; I²=60.7%, p=0.013). And no statistical significance was observed between any subgroup of duration of use and these two type of cancer. Howerver, mobile phone use was associated with decrease the risk of meningioma, especially when the time since first use was between 0-5 years (OR, 0.83; 95% CI, 0.76-0.90; I²=39.5%, p=0.142) and 5-10 years (OR, 0.83; 95% CI, 0.75-0.93; I²=32.3%, p=0.194), while the protective effect disappeared in longer term (more than 10/11 years)(OR, 0.91; 95% CI, 0.80-1.03; I²=0.0%, p=0.870). ConclusionEvidence from our study mobile/cellular phone use may decreased risk of meningioma. Further studies are needed to explore the possible influence of long-term use of mobile phone and underlying mechanism.

Prediction and analysis of functional RNA structures within the integrative genomics viewer

ABSTRACT In recent years, interest in RNA secondary structure has exploded due to its implications in almost all biological functions and its newly appreciated capacity as a therapeutic agent/target. This surge of interest has driven the development and adaptation of many computational and biochemical methods to discover novel, functional structures across the genome/transcriptome. To further enhance efforts to study RNA secondary structure, we have integrated the functional secondary structure prediction tool ScanFold, into IGV. This allows users to directly perform structure predictions and visualize results—in conjunction with probing data and other annotations—in one program. We illustrate the utility of this new tool by mapping the secondary structural landscape of the human MYC precursor mRNA. We leverage the power of vast ‘omics’ resources by comparing individually predicted structures with published data including: biochemical structure probing, RNA binding proteins, microRNA binding sites, RNA modifications, single nucleotide polymorphisms, and others that allow functional inferences to be made and aid in the discovery of potential drug targets. This new tool offers the RNA community an easy to use tool to find, analyze, and characterize RNA secondary structures in the context of all available data, in order to find those worthy of further analyses.