God and the Engineer: An Integration Paper

Cedarville University exists to equip Christian students for lifelong leadership and service marked by excellence and grounded in biblical truth. So states the mission statement of this great institution. The challenge for her faculty is to flesh out this mission in individual courses, laboratories, and interactions with students across the campus. This is the mandate of “biblical integration”. The challenge for Christian professors is to see the whole realm of knowledge holistically and to teach their students to do the same. Greg Bahnsen describes well the task of integration when he says, “...God’s word demands unreserved allegiance to God and His truth in all our thought and scholarly endeavors.” The believing professor then has no choice but to get down to business in the task of integrating. She must show that God is not silent when it comes to her discipline. She must help her students to put the pieces together. The human mind as created by God longs to see unity and coherence in the observed world. James Orr says that such a mind “is not content with fragmentary knowledge, but tends constantly to rise from facts to laws, from laws to higher laws, from these to the highest generalizations possible.” To help students to do this and to see God and His glory as the highest generalization is biblical integration as I understand it. This paper addresses specifically the task of doing biblical integration within the context of the engineering programs within Christ-centered universities. In Section II I briefly defend the idea of Christ-centered higher education. I elaborate on some reasons why parents should desire Christ-centered higher education for their children as opposed to the education that they might receive in a secular university. This discussion then leads naturally into a discussion of the epistemological and philosophical underpinnings of engineering within the framework of biblical Christianity in Section III. In Section IV I take up the biblical view of vocation or calling and deal specifically with engineering as a legitimate calling for Christian men and women. In Section V I address the need for a sense of moderation concerning our conception of what engineering and technology can do for mankind in a fallen world. Finally, in Section VI I describe how we may make specific applications in the engineering classroom

Distress in couples coping with cancer: A meta-analysis and critical review of role and gender effects

Research concerning distress in couples coping with cancer was integrated using meta-analysis and narrative critical appraisal. Individual levels of distress were determined more by gender than by the role of being the person with cancer versus that person's partner. That is, women reported consistently more distress than men regardless of their role (standardized mean difference = 0.31). The association between patient and partner distress within couples was only moderate (r = .29) but is sufficient to warrant further consideration of the notion that these couples react as an emotional system rather than as individuals. It is noteworthy that this association is not moderated by gender. With a general lack of comparison groups, the question of how much distress can be ascribed to the cancer experience cannot be answered decisively; elevations in distress are probably modest. We critically discuss these results, identify important unanswered questions, and indicate directions for future research. Attention needs to be directed toward factors other than cancer as direct influences of distress in these couples and to mediators and moderators of the cancer experience. (PsycINFO Database Record (c) 2008 APA, all rights reserved)

Applying the Reformational Doctrine of Christian Vocation to our Understanding of Engineering as a Sacred Calling

Students at Christ-centered universities often find themselves wrestling with whether or not God can use them as effectively in the field of engineering as He can in a field such as pastoral ministry or foreign missionary service. This question exposes an underlying dualism that has been fostered in the minds of 21st century believers causing them to view certain professions as “secular” and certain others as “sacred”. This paper describes how the biblical doctrines rediscovered during the Protestant Reformation have liberated Christians to study and even excel in fields such as engineering and technology. I describe first how dualism was pervasive during the Middle Ages causing a strong distinction between sacred callings and secular pursuits. I then show how the teachings of the reformers and then later the Puritans concerning God’s relationship with man and particularly the doctrine of the priesthood of all believers paved the way for a new understanding of the Christian doctrine of calling or vocation. Based on Reformation teachings, pursuing engineering as engineering glorifies God and is a sacred calling. Finally I investigate how this doctrine of Christian calling affects the pursuit of the engineering profession by Christians. I argue that Christians should be the best engineers in light of the fact that they are called by God to this profession for His glory. I suggest ways for instilling this biblical vocational mentality into the minds and hearts of engineering students at Christ-centered universities

Segmentation of Pulmonary Nodules in Computed Tomography using a Regression Neural Network Approach and its Application to the Lung Image Database Consortium and Image Database Resource Initiative Dataset

We present new pulmonary nodule segmentation algorithms for computed tomography (CT). These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid system. Like most traditional systems, the new FA system requires only a single user-supplied cue point. On the other hand, the SA system represents a new algorithm class requiring 8 user-supplied control points. This does increase the burden on the user, but we show that the resulting system is highly robust and can handle a variety of challenging cases. The proposed hybrid system starts with the FA system. If improved segmentation results are needed, the SA system is then deployed. The FA segmentation engine has 2 free parameters, and the SA system has 3. These parameters are adaptively determined for each nodule in a search process guided by a regression neural network (RNN). The RNN uses a number of features computed for each candidate segmentation. We train and test our systems using the new Lung Image Database Consortium and Image Database Resource Initiative (LIDC–IDRI) data. To the best of our knowledge, this is one of the first nodule-specific performance benchmarks using the new LIDC–IDRI dataset. We also compare the performance of the proposed methods with several previously reported results on the same data used by those other methods. Our results suggest that the proposed FA system improves upon the state-of-the-art, and the SA system offers a considerable boost over the FA system

Segmentation of Pulmonary Nodules in Computed Tomography using a Regression Neural Network Approach and its Application to the Lung Image Database Consortium and Image Database Resource Initiative Dataset

We present new pulmonary nodule segmentation algorithms for computed tomography (CT). These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid system. Like most traditional systems, the new FA system requires only a single user-supplied cue point. On the other hand, the SA system represents a new algorithm class requiring 8 user-supplied control points. This does increase the burden on the user, but we show that the resulting system is highly robust and can handle a variety of challenging cases. The proposed hybrid system starts with the FA system. If improved segmentation results are needed, the SA system is then deployed. The FA segmentation engine has 2 free parameters, and the SA system has 3. These parameters are adaptively determined for each nodule in a search process guided by a regression neural network (RNN). The RNN uses a number of features computed for each candidate segmentation. We train and test our systems using the new Lung Image Database Consortium and Image Database Resource Initiative (LIDC–IDRI) data. To the best of our knowledge, this is one of the first nodule-specific performance benchmarks using the new LIDC–IDRI dataset. We also compare the performance of the proposed methods with several previously reported results on the same data used by those other methods. Our results suggest that the proposed FA system improves upon the state-of-the-art, and the SA system offers a considerable boost over the FA system

Segmentation of Pulmonary Nodules in Computed Tomography Using a Regression Neural Network Approach and Its Application to the Lung Image Database Consortium and Image Database Resource Initiative Dataset

We present new pulmonary nodule segmentation algorithms for computed tomography (CT). These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid system. Like most traditional systems, the new FA system requires only a single user-supplied cue point. On the other hand, the SA system represents a new algorithm class requiring 8 user-supplied control points. This does increase the burden on the user, but we show that the resulting system is highly robust and can handle a variety of challenging cases. The proposed hybrid system starts with the FA system. If improved segmentation results are needed, the SA system is then deployed. The FA segmentation engine has 2 free parameters, and the SA system has 3. These parameters are adaptively determined for each nodule in a search process guided by a regression neural network (RNN). The RNN uses a number of features computed for each candidate segmentation. We train and test our systems using the new Lung Image Database Consortium and Image Database Resource Initiative (LIDC–IDRI) data. To the best of our knowledge, this is one of the first nodule-specific performance benchmarks using the new LIDC–IDRI dataset. We also compare the performance of the proposed methods with several previously reported results on the same data used by those other methods. Our results suggest that the proposed FA system improves upon the state-of-the-art, and the SA system offers a considerable boost over the FA system

Inhibiting Dhurrin Biosynthesis Effects on Stocker Cattle Daily Gains

Climate change has made resilient crops more valuable in many agricultural production systems. Sorghum is an important resilient grain and forage crop due to its high drought tolerance and ability to thrive in low-N environments. All current commercial sorghum varieties produce the cyanogenic glucoside dhurrin. Cell maceration causes the conversion of dhurrin to hydrogen cyanide (HCN), which is toxic to animals. Toxicity symptoms range from labored breathing and convulsions to death within minutes. The dhurrin biosynthesis pathway was altered to inhibit dhurrin production by a mutation that inactivated CYP79A1, the first enzyme in the pathway. The dhurrin-free phenotype eliminates the risk of hydrogen cyanide (HCN) poisoning in animals; however, agronomic performance and livestock responses when the dhurrin-free is grazed has not been studied. This study focused on the impacts of the cyp79a1 mutation on sorghum forage production and utilization. Over two months, weight gains were compared for stocker calves grazing either a dhurrin-free hybrid and a conventional hybrid (S&W SP4105). Presence or absence of HCN, nutritional quality, and yields were also determined before and throughout the grazing trial. The dhurrin-free hybrid and SP4105 had equivalent biomass yields (kg ha-1) throughout the trial. The dhurrin-free hybrid’s neutral detergent fiber and acid detergent fiber were 35 and 20 mg g-1 lower, respectively, when compared to SP4105 on the first sampling date (P-value \u3c 0.1). Rumen degradable protein and total digestible nutrients were higher as well for the dhurrin-free, but the two hybrids were similar by the second sampling date for nutritional quality. Average daily gain was similar between the dhurrin-free hybrid and the conventional sorghum hybrid. Taken together, dhurrin-free sorghum has many beneficial aspects as a forage; no fear of HCN toxicity and competitive weight gains of stocker calves, with excellent biomass yields and forage quality

Evaluation of the Single Kernel Characterization System (SKCS) for Measurement of Sorghum Grain Attributes

The single kernel characterization system (SKCS) has been widely used in the wheat industry, and SKCS parameters have been linked to end-use quality in wheat. The SKCS has promise as a tool for evaluating sorghum grain quality. However, the SKCS was designed to analyze wheat, which has a different kernel structure from sorghum. To gain a better understanding of the meaning of SKCS predictions for grain sorghum, individual sorghum grains were measured for length, width, thickness (diameter), and weight by laboratory methods and by the SKCS. SKCS predictions for kernel weight and thickness were highly correlated to laboratory measurements. However, SKCS predictions for kernel thickness were underestimated by ≈20%. The SKCS moisture prediction for sorghum was evaluated by tempering seven samples with varying hardness values to four moisture levels. The moisture contents predicted by SKCS were compared with a standard oven method and, while correlated, SKCS moisture predictions were less than moisture measured by air oven, especially at low moisture content. Finally, SKCS hardness values were compared with hardness measured by abrasive decortication. A moderate (r = 0.67, P \u3c 0.001) correlation was observed between the hardness measurements. The SKCS predictions of kernel weight and diameter were highly correlated with laboratory measurement. Moisture prediction, however, was substantially lower by the SKCS than as measured by an air oven method. The SKCS should be suitable for measuring sorghum grain attributes. Further research is needed to determine how SKCS hardness predictions are correlated to milling properties of sorghum grain

Diarrhetische en paralytische schelpdiervergiftiging

Dit verslag behandelt de analysemethodes voor twee typen schelpdiervergiftiging, de paralytische en diarrhetische schelpdiervergiftiging (respectievelijk PSP en DSP genaamd)